AI underwriting agents for venture capital, lending, and reinsurance — launching first for VCs.
Pre-check pitch decks against your investment rubric, extract structured financial data, run quantitative analysis, screen entities, discover risks, and generate professional IC memos from a shared deal workspace.
Built for ChatGPT and Claude via MCP. Every paid transaction is authorized and settled through delegare.dev
Scored across 77 tools
Many tools overlap in purpose: run_comps_analysis, run_competitive_landscape, and run_sector_overview are hard to distinguish, as are run_credit_screen, run_deal_screening, and run_risk_discovery. The repetitive 'MCP-Agents tool X. Same name as live catalog' descriptions add no differentiating detail, and pairs like fetch_portfolio_metrics vs run_portfolio_analytics or check_payment_setup vs setup_fiat_mandate further blur boundaries.
Names overwhelmingly follow a snake_case verb_noun pattern, with clear families like run_*, get_*, list_*, and *_harness_job. Minor deviations such as pitch_deck_precheck and setup_fiat_mandate versus check_payment_setup break the pattern only slightly.
77 tools is an extreme count for any server surface, making navigation and selection impractical. The large number of near-synonymous run_* and generate_* tools inflates the set far beyond the 50+ threshold.
The set covers many underwriting stages—deal workspaces, documents, harness jobs, model configuration, and numerous analyses—so major workflows exist. However, there are notable lifecycle gaps: no update/delete for deal workspaces, no list_harness_jobs, and no obvious retrieval path for many generated analysis artifacts.
MCP-Agents tool build_data_pack. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations and the description discloses no behavioral traits, side effects, data requirements, or effects on state. The description only repeats the name and gives a URL, leaving the agent entirely in the dark about what invoking the tool does.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but this is under-specification rather than effective conciseness. It contains no substantive information and fails to earn its place as a usable tool description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, no parameter details, and no behavioral explanation, the description is nearly empty. An agent has no basis for deciding to call this tool or for constructing a valid invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero declared parameters and the schema only allows additional properties, so there is little to document. The description adds no parameter-specific meaning, but the 0-parameter baseline applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool build_data_pack') and points to a URL, without saying what the tool does. There is no verb, resource, or functional distinction from the many sibling 'build/run' tools, so an agent cannot infer its purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool, what inputs or conditions are required, or how it differs from alternatives like build_diligence_checklist or create_custom_blueprint. The reference to a live catalog is not actionable usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool build_diligence_checklist. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not state whether the tool creates, fetches, updates, or returns something, nor does it mention side effects, output, or side effects like persisting data or calling external systems.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity is not the same as conciseness: neither sentence earns its place. The first sentence only labels the tool and the second only points to a URL. This is under-specification rather than efficient communication.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema and no annotations, so the description should explain what the tool produces or how it behaves; it does neither. The zero-parameter schema reduces the input burden, but the agent is still left without a behavioral contract or return-value expectation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero named parameters and no required parameters, so there is little parameter semantics for the description to clarify. The baseline for zero-parameter tools is 4; the schema coverage is effectively 100% and the description is not required to document parameters that do not exist, though additionalProperties:true leaves the input contract somewhat open.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool build_diligence_checklist') and adds a URL, without stating what the tool does, what a diligence checklist is, or what outcome to expect. It is effectively a tautology that names the resource but does not define the action or result.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what conditions favor it, or which sibling tools might be alternatives. The long sibling list is not referenced at all, leaving the agent to guess when build_diligence_checklist is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Cancel a pending harness job. Running jobs transition to cancellation_requested for worker acknowledgement.
| Name | Required | Description | Default |
|---|---|---|---|
| jobId | Yes | Job ID to cancel | |
| reason | No | Reason for cancellation | |
| workspaceId | Yes | Workspace that owns the job |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses a key behavioral trait: running jobs transition to cancellation_requested for worker acknowledgement, which is useful. However, it doesn't mention whether cancellation is reversible, what happens to the job's data, or any permission requirements. The description adds some behavioral context but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary action and scope. The second sentence adds a useful behavioral detail. No wasted words, though it could be slightly more structured with explicit usage guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a cancellation tool with no output schema and no annotations, the description covers the core behavior but lacks details like error conditions, idempotency, or what happens after cancellation_requested. The sibling context (resume_harness_job, run_harness_job) suggests a job lifecycle, but the description doesn't fully explain where cancellation fits. It's adequate but with clear gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all three parameters. The description adds no additional meaning beyond the schema; it doesn't explain the relationship between jobId and workspaceId or the format of the reason. Baseline 3 is appropriate since the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Cancel a pending harness job') and the resource ('harness job'). It distinguishes the tool's scope by specifying that only pending jobs can be canceled, and it notes the transition to cancellation_requested for running jobs. However, it doesn't explicitly differentiate from sibling tools like resume_harness_job or plan_harness_job, though the verb 'cancel' is distinct enough.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage: cancel a pending harness job, and running jobs transition to cancellation_requested. It doesn't explicitly state when to use this tool vs alternatives (e.g., when not to use it, or what to do if a job is already running vs pending). The context is clear for a cancellation operation, but no exclusions or alternative routing are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool check_payment_setup. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavior. It reveals nothing about side effects, return values, read-only versus mutating behavior, or prerequisites. The only added fact, that it shares a name with a catalog entry, is provenance rather than behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not meaningfully concise; its sentences merely restate the tool name and point to a catalog URL. Neither sentence earns its place by conveying functional information, so this is under-specification rather than effective brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the tool having no parameters, an agent still needs to know what 'check_payment_setup' checks, what it returns, and how it differs from initiate_payment_setup. The description provides none of this context, so it is inadequate even for a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters and 100% schema coverage, so there is little for the description to add. The raw schema does allow additionalProperties: true, which is slightly open-ended, but since no parameters are expected, the description is not penalized heavily.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name as 'MCP-Agents tool check_payment_setup' and notes that it shares a name with a live catalog entry. It provides no verb, resource, or outcome, so an agent cannot determine what this tool actually does beyond what the name itself implies.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use check_payment_setup versus related siblings such as initiate_payment_setup or setup_fiat_mandate. The description neither states use cases nor excludes alternatives, leaving the agent without routing information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool configure_data_provider. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. The description does not state whether this tool mutates configuration, requires authentication, has side effects, or what happens when invoked. The only behavioral hint is the word 'configure' in the name, which implies mutation, but the description itself adds no behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not informative. It wastes its only sentence on restating the tool name and pointing to a URL. It is under-specified rather than concise, and the URL reference is not useful for an AI agent deciding how to invoke the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and no parameter schema details. The description provides no information about what the tool does, when to use it, or what to expect. For a configuration tool with a potentially mutating action, this is completely inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters and schema description coverage is 100%, so there are no parameter semantics to explain. The baseline for 0 params is 4. The description does not need to add parameter meaning because there are no parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: it repeats the tool name and states it is the same as a live catalog URL. It does not state what the tool does, what action it performs, or what resource it affects. The verb 'configure' is only in the name, not explained in the description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description only mentions a URL, which is not usage guidance. Sibling tools like configure_model_provider and sync_connected_provider exist, but the description does not differentiate or provide selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool configure_model_provider. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry the full burden of behavioral disclosure. It reveals nothing about side effects, permissions, state changes, or configuration semantics. A 'configure' tool likely mutates state, but no such hint is given.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but this is under-specification, not conciseness. It contains no actionable content beyond the name and a URL. Every word is wasted because it fails to convey purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that appears to configure a model provider, the description is grossly incomplete. It lacks any information about required inputs, expected behavior, return values, or relationship to related tools like configure_data_provider or set_model_policy. An agent would have no idea what this tool accomplishes or how to invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has zero parameters and 100% coverage, so the baseline for 0 params is 4. The description adds nothing about parameters, but since there are none defined, there is nothing to explain. The additionalProperties flag in the schema already communicates that arbitrary inputs are allowed, so the description does not need to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology: 'MCP-Agents tool configure_model_provider' merely restates the tool name. It offers no verb, resource, or functional statement. The reference to a live catalog URL is a link, not a description of what the tool does, so an agent cannot infer its purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is zero guidance on when to use this tool versus any of the 70+ siblings. No context, no alternatives, no exclusions. The description provides no situational cue that would help an agent decide to call it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool create_custom_blueprint. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. It does not mention side effects, permissions, return values, validation, or any constraints. The only extra statement, 'Same name as the live catalog,' communicates nothing about observable behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity is not conciseness here because no useful information is packed in. The first clause merely restates the tool name, and the second clause is a URL reference that does not earn its place by clarifying purpose or usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a create-type tool with no annotations, no output schema, and no parameter documentation, the description is severely inadequate. An agent has no basis to know what to provide, what action will be taken, or what the result will be. The live catalog reference does not compensate for this absence of operational detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero documented parameters and an open additionalProperties schema, so there is no parameter detail the description is failing to add. However, the description also gives no guidance about what arbitrary properties might be expected, so the baseline score remains slightly below maximal.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name ('MCP-Agents tool create_custom_blueprint') and only references a live catalog URL, but never states what the tool actually does. An agent cannot determine from this text that it creates a custom blueprint, what a custom blueprint is, or how this differs from siblings like list_custom_blueprints.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any alternative. The statement about the live catalog is a naming hint, not a usage condition, and it does not mention related tools such as list_custom_blueprints or any prerequisite or workflow context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool create_deal_workspace. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral disclosure burden. The description discloses no creation semantics, side effects, required setup, or response behavior, and mentions nothing beyond the tool's name and a URL.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and short on substance, not concise in the useful sense. The first sentence merely repeats the tool name, and the second sentence states that the name matches a catalog URL; neither sentence earns its place with actionable information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a creation tool with no annotations and no output schema, the description should at least state that it creates a new deal workspace and what happens on success. Instead, an agent is left to infer the entire operation from the tool name alone, which is inadequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The context signals report zero parameters and 100% schema description coverage, so the baseline is 4. The description contributes no parameter meaning, but there are no documented parameters to clarify or compensate for.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology: 'MCP-Agents tool create_deal_workspace' restates the tool's name and adds no verb, action, effect, or distinction from siblings such as get_deal_workspace or list_deal_workspaces. The second sentence only restates that its name matches a live catalog URL, which does not communicate what the tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like create_deal_workspace's read-only siblings get_deal_workspace or list_deal_workspaces. The description provides no prerequisites, prerequisites, or invocation context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool display_upload_documents_form. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, and it discloses nothing about side effects, return values, permissions, or behavior. The only statement is a self-referential naming note, which provides zero behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not appropriately useful; it is under-specified. The first sentence is tautological and the second sentence references a URL without explaining its relevance. Every sentence fails to earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is wholly inadequate for an agent to understand what the tool does, when to call it, or what to expect in return. There is no output schema and no annotations to compensate, leaving the agent with only the tool name as a hint.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the parameter-semantics burden is minimal. The schema already indicates additionalProperties true with no defined properties, and the description adds nothing about parameters, but none are needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply restates the tool name in the first sentence ('MCP-Agents tool display_upload_documents_form') and then points to a URL, without defining what the tool does. It fails to state a verb and resource, and the 'same name as the live catalog' note is irrelevant to purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any sibling tool. The description does not mention any context, prerequisites, or alternatives such as submit_documents. This is a clear case of no usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool fetch_company_intelligence. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description discloses nothing about side effects, safety, permissions, or expected behavior. The tool is completely opaque to the agent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but that is under-specification, not conciseness. It lacks any meaningful structure or front-loaded useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations or output schema, the description is the sole source of context. It fails to state the tool's purpose, making it impossible for an agent to decide when to invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so schema coverage is trivially 100%. The description adds nothing beyond the schema, but there is nothing for it to document; the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name and gives a URL, without stating any verb, resource, or action. It is essentially a tautology and provides no functional meaning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. The note about the live catalog URL adds no contextual or comparative information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool fetch_crm_context. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of explaining behavior, and it says nothing about side effects, read-only guarantees, data scope, or output. The only statement is a naming/catalog reference, which has no behavioral value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but contains no useful information; 'Same name as the live catalog' is an external naming reference rather than a functional explanation. This is under-specification presented as conciseness, not disciplined brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and an ambiguous name, a complete description would at least state that it fetches CRM context and what that context includes. The description offers none of this, leaving an agent unable to decide when or why to call it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema is effectively open with 100% coverage, so there are no parameter semantics for the description to add. The baseline of 4 applies because the schema has no undocumented parameters and the description is not required to clarify any.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool fetch_crm_context') and gives an external URL reference, with no verb, resource, or behavior that explains what the tool does. It is a tautology rather than a definition.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool, what scenario it addresses, or how it differs from the many sibling tools such as fetch_company_intelligence or get_deal_workspace. The name implies CRM context retrieval, but the description never supports or clarifies that implication.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool fetch_docsend_document. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden of behavioral disclosure, and it discloses nothing: no side effects, no return value, no data source, no access requirements. The only added fact is a URL pointer, which does not describe tool behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but most of its length is wasted on a name restatement and an external catalog reference. Neither of the two sentences earns its place by providing actionable information about the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a fetch tool, the agent needs to know what to pass in, what to expect back, and how this differs from related document tools. The description provides none of this, and with no output schema or annotations, the invocation context is effectively absent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema defines zero named parameters with 100% coverageament, so the description has no parameter semantics to clarify. The baseline for a zero-parameter tool is 4, and despite the description adding nothing, an agent can at least see from the schema that there are no declared arguments.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: 'MCP-Agents tool fetch_docsend_document' merely restates the tool name coated in a product label. 'Same name as the live catalog' provides no functional meaning, leaving the agent to guess that this tool fetches a DocSend document.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus any of the many sibling tools, such as get_document_preview or submit_documents. The reference to a live catalog is not usage direction, and no exclusions or alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool fetch_portfolio_metrics. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and discloses no behavior: no side effects, no data source, no read-only guarantee, no return behavior. The only added claim is that the tool shares its name with an external catalog entry, which is not behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but the first sentence is a tautology and the second is an external pointer, so neither earns its place. This is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even though the tool is simple (no parameters, no output schema), the agent has no idea what metrics are fetched, for which portfolio, from what source, or what response to expect. The description is not complete enough to support correct invocation or result interpretation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema declares zero parameters, so there are no inputs the description needs to clarify; the empty schema is the complete contract. By the zero-parameter baseline, this dimension is not a weak point, though the description itself still adds no semantic detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and references a live catalog URL; it names no verb, resource, or outcome. It does nothing to differentiate fetch_portfolio_metrics from the many other fetch_/get_ siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to use this tool or when to prefer an alternative. The sibling list contains numerous analytics and metric tools, but the description offers no selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool fetch_public_filings. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. It discloses none: no side effects, no data source, no pagination, no rate limits, no return behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but brevity here is under-specification rather than conciseness. The only substantive claim is a reference to an external catalog, which does not help an agent decide or execute the call.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and dozens of siblings, the description is grossly incomplete. An agent cannot infer what 'public filings' means, what inputs are accepted, what outputs look like, or how this differs from related tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters, so the schema is trivially complete and the description need not document parameter semantics. The sole oddity is additionalProperties: true, but with no named parameters there is no parameter gap for the description to fill.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and points to a URL; it never says what the tool does. 'MCP-Agents tool fetch_public_filings' is a tautology, and 'same name as the live catalog' adds no functional meaning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to call this tool versus any of the many sibling tools, nor any mention of prerequisites, alternatives, or exclusions. The agent is left completely uninformed about selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool finalize_document_template. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, but it discloses nothing. There is no mention of side effects, requirements, or what finalizing entails. The bare reference to a catalog name is not behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and under-specified. The only information is a self-referential note about a catalog link, which does not serve the agent. This is not conciseness but a complete lack of substance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the existence of related tools and the lack of output schema or annotations, this description is grossly incomplete. An agent cannot determine what finalize_document_template does, when to call it, or what to expect. It needs far more context to be usable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and schema coverage is 100% (vacuous). Since there are no parameters to document, the description has no obligation to explain anything. A baseline of 4 is appropriate for zero-param tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name without stating what the tool does. It mentions it shares a name with a live catalog but provides no verb or resource, making it impossible for an agent to infer functionality. It does not distinguish from siblings like register_document_template or render_document.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any of the many siblings. The description does not mention any context, prerequisites, or alternatives, leaving the agent with zero direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool generate_business_case. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals nothing about side effects, required inputs, permissions, rate limits, or what gets created. For a tool named 'generate' (which implies a mutation/creation operation), this is a complete gap with zero disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but brevity here is under-specification, not conciseness. Every sentence is wasted on restating the name and pointing to an external URL rather than describing behavior. It does not earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a generation tool with no annotations, no output schema, and an open-ended input schema, the description is completely inadequate. An agent cannot determine what inputs to provide, what the tool returns, or how it behaves. Nothing an agent needs to call it correctly is present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0 declared parameters but sets additionalProperties: true, meaning the tool accepts arbitrary undocumented properties. The baseline for 0 params is 4, but the description adds zero meaning about what inputs a business-case generator needs, and the open-ended schema leaves the agent with no way to know what to pass. The description fails to compensate for the schema's openness.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool generate_business_case') and provides a URL. This is a tautology—it does not state what the tool does, what a business case is, or what output it produces. It fails to distinguish itself from the many sibling generate_* tools (generate_buyer_list, generate_cim_content, generate_pitch_deck_content, generate_teaser).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance whatsoever on when to use this tool versus alternatives. Among roughly 80 siblings there are several generate_* tools, but the description offers no selection criteria, no prerequisites, and no exclusions. The URL reference provides no actionable usage context for an agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool generate_buyer_list. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior, side effects, or requirements. It discloses nothing beyond the tool's name and a URL, leaving the agent with no information about what the tool does or what happens when invoked.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not appropriately informative. The sentence "MCP-Agents tool generate_buyer_list" merely repeats the name and does not earn its place, while the catalog URL provides no functional value. This is under-specification rather than genuine conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a large set of sibling tools, the description needed to explain the tool's purpose and behavior. It fails to provide any actionable context, making the tool effectively unselectable by an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero defined parameters, so there is no parameter semantic burden for the description to carry. The input schema already represents the parameter surface completely, and the baseline for zero-parameter tools applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description essentially restates the tool name: "MCP-Agents tool generate_buyer_list." It adds only a reference to a live catalog URL, which does not state what the tool does or what resource it acts on. This is a tautology rather than a functional description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool, when not to use it, or how it relates to the many sibling tools such as generate_business_case or generate_teaser. The description provides no decision criteria or context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool generate_cim_content. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and no behavioral description, the tool's side effects, permissions, or output behavior are undisclosed. The description adds no transparency beyond the tool name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
While the description is short, it is under-specified rather than concise. The only substantive phrase, 'Same name as the live catalog', does not earn its place because it does not help an agent understand or invoke the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool name implies generating CIM content, but there is no description of inputs, output, behavior, or relationship to similarly named tools, an agent cannot reliably select or call it. No output schema or annotations compensate for the missing context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline is 4 per the rubric; the description does not need to explain parameter semantics and the schema coverage is vacuously 100%. However, the description also adds no meaningful parameter-related context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool generate_cim_content') and gives a URL reference, with no verb, resource, or function. 'Same name as the live catalog' does not clarify what the tool actually does, making it essentially tautological.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any of the many sibling generation tools like generate_pitch_deck_content, generate_teaser, or run_cim. No context, prerequisites, or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool generate_pitch_deck_content. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing: no side effects, return behavior, execution duration, or state change. The agent learns nothing about what happens when the tool is invoked.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but this is under-specification rather than conciseness. The URL reference and name restatement earn no place; they convey no actionable information to an agent and replace what should be a substantive functional explanation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a content-generation tool with no annotations and no output schema, this description is completely inadequate. An agent cannot determine what the tool produces, what it inputs, when to prefer it over siblings like generate_cim_content, or what to expect in return.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema is an open object with additionalProperties: true, so the tool effectively accepts undocumented input, yet the description adds zero guidance about what arguments should be passed. Even though formal parameter count is 0, a deck-generation tool clearly needs input (company/deal context), and neither schema nor description communicates it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology: it states the tool's name ('MCP-Agents tool generate_pitch_deck_content') and asserts it matches an external catalog, but never states what the tool does. Any sense of purpose comes only from the tool name itself, not the description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus its numerous siblings such as pitch_deck_precheck, generate_cim_content, generate_teaser, or prepare_ic_memo_outline. There are no use cases, conditions, or exclusions provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool generate_strip_profile. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses nothing about side effects, required permissions, data access, or return behavior; it merely references a live catalog name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not meaningfully concise: the first sentence only restates the tool name throughout. The URL reference is the only substantive content, and it does not help an agent understand what the tool does.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no behavior description, no usage guidance, and no annotation context. For a tool in a large sibling family, this description leaves an agent with essentially no information needed to select or invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero documented parameters)Skip and schema coverage is effectively 100% with no properties to explain. The baseline for zero-parameter tools is 4, and the description does not need to compensate for missing parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description repeats the tool name and points to a URL but never states what the tool does. There is no verb, resource, or outcome described, making it a tautology rather than a functional definition.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool or when to prefer one of its many siblings. The description offers no context for selection, no prerequisites, and no exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_attributed_fact. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It says nothing about side effects, read-only guarantees, permissions, or response behavior; the 'get' prefix weakly implies retrieval but is never stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but its brevity comes from omission rather than efficiency. The first sentence is redundant with the tool name, and the second sentence only points to a URL without explaining anything about the tool's behavior.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, an opaque name, and a free-form input schema, the description is far too incomplete for an agent to select or invoke the tool correctly. The external URL is not a substitute for in-description context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Although there are zero named parameters, the input schema is an open object with additionalProperties:true, leaving the expected input format entirely undefined. The description adds no information about what keys, identifiers, or query arguments the tool consumes.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool get_attributed_fact') and adds an external URL reference. It does not define what an 'attributed fact' is, what the tool does, or what resource it acts on, so an agent cannot infer purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus the many sibling tools. The external catalog URL hints at an external reference but does not provide selection criteria or alternative routing in the description itself.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_collections_queue. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It gives no information about side effects, data scope, authentication needs, response behavior, or freshness of the queue. It is not misleading, but it is effectively opaque.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but the shortness comes from under-specification rather than economy. Two sentences are spent restating the name and pointing to a URL, with almost no functional content earning its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description needs to explain what the queue is and what the caller gets back. It does neither. The name and URL provide only a weak signal, leaving the description incomplete for safe selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero documented parameters and no required inputs, so the description does not need to add param-level meaning. The input schema confirms an open additionalProperties object, but with no expected parameters the baseline of 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description does not state what the tool does. It only repeats the tool's name ('MCP-Agents tool get_collections_queue') and references a live catalog URL, with no verb, resource, or functional explanation. It also does not distinguish the tool from the many 'get_*' siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives, and no mention of any sibling tool or condition. The description is entirely silent on selection criteria, so an agent must rely on the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_data_provider_status. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but provides no behavioral context. It doesn't state what the tool returns, whether it's read-only, if it requires authentication, or any side effects. The catalog URL is unhelpful for understanding tool behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely brief, which is good for conciseness, but the single sentence fails to convey any substantive information. It's under-specification rather than efficient conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool is a status-checker among many siblings, the description is severely incomplete. It doesn't define what 'data provider status' means, what fields or states are reported, or any context to help an agent decide when to call it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema is a simple empty object with additionalProperties, so there's no parameter semantics to document. The baseline of 4 is not met because the description misses context about what the status represents, but with no parameters and 100% coverage, a 3 is fair.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology - it repeats the tool name 'get_data_provider_status' and adds only that it matches a live catalog, with no verb, resource, or function stated. It fails to distinguish from siblings like 'configure_data_provider' or 'sync_connected_provider.'
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool, prerequisites, or alternatives. The description only mentions a catalog URL, which is irrelevant to an agent's task selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_deal_workspace. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No behavioral information is provided. With no annotations, the description carries the full burden, but it says nothing about side effects, return values, or operational details such as authentication or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short, but it is under-specified rather than concise. The single sentence provides no actionable information, making it ineffective despite its brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that likely retrieves a specific deal workspace, the description omits critical details such as what arguments it accepts, what it returns, or how it differs from list_deal_workspaces. The absence of an output schema and annotations makes this gap especially problematic.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is empty (0 parameters, additionalProperties true), so there are no parameters to describe. The description adds nothing about parameters, but since none exist, the schema already communicates the lack of required inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and provides a URL, without any verb or resource description. It does not distinguish the tool from siblings like create_deal_workspace or list_deal_workspaces, nor does it indicate what it retrieves.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or scenarios that would lead an agent to select it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_document_preview. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing about side effects, return values, permissions, or whether this is a read operation. The 'same name as the live catalog' note is not behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity comes from being under-specified rather than concise. The first sentence merely repeats the tool name and adds no value. The second sentence is the only substantive content, but it does not explain the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having no parameters, the tool lacks any description of what it returns, how it behaves, or why an agent would call it. With no annotations and no output schema, this description is inadequate even for a seemingly simple preview tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero defined parameters, so there is nothing for the description to elaborate beyond the schema. The schema allows additional properties, but with a parameter count of 0 the description is not required to document parameter behavior. This matches the baseline for zero-parameter tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool's name ('MCP-Agents tool get_document_preview') and points to a live catalog URL. It contains no verb, resource, or action that explains what the tool does. This is a tautology rather than a purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus any of the many sibling tools such as fetch_docsend_document or render_document. The URL reference does not provide selection criteria or exclusion conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Retrieve durable progress (stage, elapsed, current activity) and the review center (citations, discrepancies, follow-up drafts) for a harness job.
| Name | Required | Description | Default |
|---|---|---|---|
| jobId | Yes | Job ID returned from run_harness_job or plan_harness_job | |
| workspaceId | Yes | Workspace that owns the job |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the burden of behavioral disclosure. 'Retrieve' signals a read-only operation and the description usefully identifies what data is returned (stage, elapsed time, activity, citations, discrepancies, follow-up drafts). However, it does not explicitly state that the tool has no side effects, nor does it address authorization or relation to job lifecycle.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-formed sentence that front-loads the primary purpose and enumerates the main return categories without wasted words. Every clause adds information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter read operation with a fully documented schema and no output schema, the description covers the essential return content and the resource's scope. It lacks explicit safety/annotation context, but the operation is simple enough that the overall picture is reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides 100% parameter coverage, with jobId described as returned from run_harness_job or plan_harness_job and workspaceId as the owning workspace. The description adds no parameter-level meaning beyond what the schema already states, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Retrieve') and a specific resource ('durable progress... and the review center... for a harness job'), making the tool's purpose immediately clear. It does not explicitly contrast itself with the harness-job sibling tools (run_harness_job, plan_harness_job, resume_harness_job, cancel_harness_job), though the retrieval verb differentiates it by implication.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this tool is for checking a job's current state after it has been created or planned, but it does not explicitly say when to use it over the sibling harness-job tools. There is no mention of alternatives or exclusions, so usage guidance is only inferred from the word 'Retrieve'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_loan_status. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It discloses nothing: no return behavior, side effects, permissions, rate limits, or failure modes. The reference to a live catalog is provenance, not behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but this is under-specification rather than conciseness. The first sentence redundantly restates the tool name, and the second sentence only points to an external URL, contributing little usable guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless tool with no output schema and no annotations, the description should at least indicate what information is returned and when to call it. It does neither, so the definition is inadequate for reliable selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the input schema is an empty extensible object, so there are no parameter semantics for the description to explain. The baseline for 0 parameters is 4, and no additional description is necessary.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description never states an action, resource, or output. It merely echoes the tool name and references an external URL, so an agent cannot tell what the tool does or how it differs from siblings like get_memo_status or track_deal_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternative status-related tools. No context, conditions, or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_memo_status. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. It discloses nothing: no side effects, no access requirements, no return behavior, no filtering or scope. The only claim, 'same name as the live catalog,' is an environment detail, not behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is short, but not meaningfully concise: both sentences are filler. 'MCP-Agents tool get_memo_status' duplicates the tool name, and the catalog reference provides no operational value. This is under-specification rather than efficient structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite being a simple zero-parameter tool, the description fails to state what status is returned, what memo it refers to, or how it differs from the many status-related siblings. There is no output schema to compensate, so the agent cannot confidently invoke or interpret the result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and an effectively empty schema, so there is no parameter burden for the description to carry. Per the baseline for zero-parameter tools, this dimension is not a liability even though the description adds no parameter-specific meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool get_memo_status') and says it matches a live catalog entry. It never states what the tool does, what resource it acts on, or what 'memo status' means. This is a tautology with no functional content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to call this tool, what problem it solves, or which scenarios would favor a sibling like get_loan_status or track_deal_status. The agent gets no decision-relevant information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_model_lineage. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It says nothing about side effects, read-only nature, authentication requirements, or any other behavioral traits, leaving the agent completely uninformed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, but it is under-specified rather than concise. It contains only a name repetition and an external URL, providing no useful content that earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, output schema, and any descriptive content, the agent has no way to understand what the tool returns, what inputs it might accept, or what side effects it has. The description is completely inadequate for a tool with this level of complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema defines zero parameters, so the baseline score is 4. The description adds no parameter information, but there are no parameters to document, so this is acceptable. However, the schema's additionalProperties:true is left ambiguous and the description does not clarify whether arbitrary keys are expected.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and points to a live catalog URL. It neither states an action nor identifies the resource being operated on, making it essentially a tautology with no meaningful purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance whatsoever about when to use this tool versus siblings like get_model_policy, list_models, or toggle_model. The agent is given no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_model_policy. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it discloses nothing: no side effects, no read/write nature, no permissions, no return behavior, and no operational constraints. The 'same name as the live catalog' note is unhelpful for understanding tool behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity here is under-specification rather than conciseness. Neither sentence earns its place: one restates the tool name and the other points to a URL without adding tool behavior.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is completely inadequate for a tool with no annotations, no output schema, and no declared parameters. It does not explain what is retrieved, what the response contains, or how it relates to the model-policy siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters and schema description coverage is 100%, so there is no parameter-semantics burden for the description to carry. The empty schema with additionalProperties true does not require explanation by the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description never states what the tool does. It only restates the tool name as 'MCP-Agents tool get_model_policy' and notes that the same name exists on a live catalog, which provides no functional meaning. An agent cannot distinguish this from siblings such as set_model_policy or get_model_lineage.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus set_model_policy, get_model_lineage, list_models, or any other sibling. No context, prerequisites, or alternative selection criteria are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool get_vertical_plugin. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior such as read-only semantics, output shape, errors, or side effects. The description mentions none of this; the 'get' prefix implies a read, but that is never confirmed and no behavior beyond the name is disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but this is under-specification rather than conciseness. The first sentence merely repeats the tool name, and the second adds a URL reference without explaining functionality, so neither sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a description that defines neither the returned data nor the difference from list_vertical_plugins, the tool is not adequately specified. An agent cannot determine what it will receive, whether it is read-only, or when to prefer this tool over a sibling.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters, so the schema requires no elaboration and the baseline is 4. The additionalProperties: true field is the only wrinkle, but with no defined parameters, the description does not need to compensate by explaining parameter meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially tautological, restating the tool name ('MCP-Agents tool get_vertical_plugin') and adding only that the name matches a live catalog URL. It does not state what the tool actually fetches or returns, and it does not distinguish this from the sibling list_vertical_plugins.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to invoke this tool, what problem it solves, or when list_vertical_plugins or other get_* tools would be more appropriate. The sibling name suggests a get-vs-list distinction, but the description does not mention it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool initiate_payment_setup. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no mention of whether the call mutates state, requires authentication, creates a mandate, or returns a status. An agent has no way to anticipate side effects or safety implications of calling it.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The definition is short, but this is under-specification rather than genuine conciseness. The first sentence is pure tautology and the second sentence points to an external URL that carries no usable semantics for an agent, so neither sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even though the signature is minimal (0 parameters, no output schema, no annotations), the bare minimum of information — what the tool does and what happens when it runs — is entirely absent. An agent cannot invoke this tool correctly, making the definition fundamentally incomplete for any real use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool declares zero formal parameters with 100% schema description coverage, so the baseline of 4 applies and the description is not obligated to document parameters. The open additionalProperties:true schema leaves some ambiguity about whether arbitrary input is accepted, but with no declared parameters this is a minor gap and the description reasonably does not need to cover it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool initiate_payment_setup') and appends an external URL. It contains no verb, resource, or behavior, so an agent cannot determine that this tool initiates payment setup or what it configures. It is a tautology and does nothing to distinguish it from siblings like check_payment_setup or setup_fiat_mandate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is zero guidance on when to invoke this tool versus any of the ~70 siblings, notably check_payment_setup and setup_fiat_mandate. The pointer to an external catalog URL is not actionable guidance for an agent, and no prerequisites, alternatives, or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool link_to_firm. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It only repeats the name and references a live catalog; it discloses nothing about side effects, permissions, reversibility, input/output behavior, or rate limits. An agent has zero behavioral information beyond the name itself.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concisely informative. The single sentence merely restates the tool name and gives a URL, so it fails to earn its place by conveying any functional substance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and no parameter definitions, the description must explain the operation, return value, and prerequisites. It does none of this, leaving the agent with only a name and an external link that offer no actionable calling information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema defines zero parameters and context reports 0 params, so the baseline is 4 and the description need not elaborate. Though additionalProperties: true technically allows arbitrary inputs, the description adds no parameter meaning, but with no declared parameters there is nothing to document.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a restatement of the tool name ('MCP-Agents tool link_to_firm') plus an external URL. It states no verb, resource, or outcome, so an agent cannot tell what action 'link_to_firm' performs or how it differs from any of the firm-related sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. No context, no exclusion criteria, and no mention of related tools such as create_deal_workspace or fetch_company_intelligence. The absence of any usage direction leaves the agent to guess.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool list_custom_blueprints. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses no side effects, read-only status, authentication needs, rate limits, pagination, response shape, or data source behavior. An agent cannot know this is a safe read operation or what calling it will do.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not effectively concise: the first sentence merely restates the tool name, and the second references a URL without explaining what the catalog contains or how it relates to tool behavior. Neither sentence carries meaningful operational value, so the brevity reflects under-specification rather than disciplined conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and no annotations, the description must explain what the agent should expect upon invocation. It does not mention the returned data, whether it is a list of blueprint names, metadata, or references. The URL hint is not enough to make the tool safely callable, even though the parameter surface is trivial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters and schema coverage is 100%, so there is nothing for the description to add. The empty input schema already fully defines the parameter surface. This matches the baseline for a no-parameter tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description consists of an identity statement ('MCP-Agents tool list_custom_blueprints') and a reference to a live catalog URL, but never states the verb and resource: that this tool lists custom blueprints. The tool name alone implies the purpose, but the description does not articulate it, making this largely tautological and indistinguishable from the sibling create_custom_blueprint without opening schemas.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use list_custom_blueprints versus alternatives such as list_vertical_plugins, list_models, or list_deal_workspaces. The only contextual hint is the URL reference, which does not explain selection criteria or exclusions. With zero usage direction, the agent must infer when this tool is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool list_deal_workspaces. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It only notes the tool shares a name with a live catalog, and says nothing about read-only behavior, return values, side effects, or pagination.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified rather than efficiently concise. The two sentences add no functional value and mostly repeat the tool identity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is inadequate even for a simple list tool: an agent cannot tell what results are returned, how to interpret them, or how this tool differs from get_deal_workspace. The complete absence of behavioral and output information makes it unsafe for automatic invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero defined parameters, so the baseline of 4 applies and no parameter documentation is required in the description. The schema's additionalProperties:true is a schema concern, not a description shortcoming.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name and provides an external URL; it never states what the tool does. This is effectively a tautology that relies on the model inferring behavior from the name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use list_deal_workspaces versus sibling tools like get_deal_workspace or create_deal_workspace. No context, prerequisites, or exclusion criteria are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool list_models. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. It discloses no read-only guarantee, output format, side effects, or catalog semantics beyond a vague URL reference.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but the first sentence is a tautology and the second is an external URL reference that does not explain the tool. Compactness is not useful when the content is uninformative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even for a zero-parameter tool, there is no output schema or annotation coverage, so the description must at least clarify what the returned model list contains and how it should be used. It merely names an external catalog, leaving the agent unable to predict the tool's results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema declares zero parameters and schema description coverage is 100%, so the baseline is 4. The description adds no parameter-level detail, but with no declared parameters there are no semantics that require clarification.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description begins by restating the tool name ('MCP-Agents tool list_models') and then points to a live catalog URL without ever stating that the tool lists or retrieves models. It gives no clear verb+resource definition and does not distinguish this from sibling tools like list_vertical_plugins or get_model_policy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what it returns, or how it relates to alternatives such as list_pricing, list_vertical_plugins, or get_model_policy. An agent is given no routing information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool list_pricing. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. It discloses nothing: no read-only guarantee, no return format, no data source beyond an indirect URL reference, no side effects or access requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity is not the same as conciseness. The opening clause redundantly restates the tool name, and the URL remark adds a non-functional pointer without explaining the tool's behavior.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description should explain what the tool returns and when it is useful. It does neither; the only contextual signal is the same-name live catalog URL, which is too indirect for an agent to know what calling this tool will do.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
This tool declares zero parameters, so there is no parameter documentation burden. The input schema is effectively empty, and the description does not need to explain parameter meanings because none exist.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description mostly restates the tool name ('MCP-Agents tool list_pricing') and points to a same-named live catalog URL, but it never explicitly states what the tool does, what resource it acts on, or what 'list_pricing' produces. The name and URL provide a vague hint at best, not a clear purpose statement.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many sibling list tools such as list_models, list_custom_blueprints, or list_deal_workspaces. No context, exclusions, or alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool list_rubric_templates. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full behavioral burden. It discloses nothing about whether the operation is read-only, requires authentication, makes network calls, returns a list, or has any side effects. The URL mention is not a behavioral description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concisely informative. The two sentences essentially repeat the tool name and offer only a URL, so brevity is not earning its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema and no annotations, the description still fails to explain what rubric templates are, what the returned catalog looks like, or how this tool differs from the many sibling list tools. An agent has insufficient context to invoke or understand the result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero required parameters and the schema has no defined properties, so there is little parameter semantics to explain. The description adds nothing, but the absence of parameters makes a high baseline appropriate despite the schema's additionalProperties: true being unaddressed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool's name and says it is the same as a live catalog on a URL. It never states the actual operation, such as retrieving or listing rubric templates, so an agent cannot determine what the tool does from the description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus any sibling tool such as list_custom_blueprints, list_models, or list_pricing. No criteria, prerequisites, or alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool list_vertical_plugins. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior, but it discloses none. It does not state whether this is a read-only lookup, what the list contains, whether it requires authentication, or what the output shape is.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified rather than concise. Neither sentence earns its place: the first restates the name and the second provides an external URL with no actionable meaning for an agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even for a simple zero-parameter list tool, the description is incomplete. It lacks the basic behavioral statement needed for an agent to know what it will receive or how to use the result, and it does not leverage the sibling context to explain the tool's role.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero declared parameters, so the baseline is 4. The description adds no parameter information, but none is needed because the schema already reflects an empty, permissive object.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: 'MCP-Agents tool list_vertical_plugins' merely restates the tool name without saying what listing vertical plugins means or does. Mentioning a live catalog URL adds provenance, not function, and there is no differentiation from the sibling get_vertical_plugin.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool, what it returns, or how it relates to alternatives like get_vertical_plugin or list_custom_blueprints. The description provides no scenario, prerequisites, or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool pitch_deck_precheck. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of explaining behavior such as whether the tool is read-only, mutating, rate-limited, or requires authentication. It discloses none of this. The text adds no behavioral information beyond the tool name itself.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity is not conciseness when the words add no value. The first sentence repeats the tool name, and the second sentence only points to an external catalog URL. Neither earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even though the tool has no parameters or output schema, an agent still needs to know what the tool does, what inputs it implicitly expects, and what result it returns. The description provides none of this, making it impossible to select or invoke the tool correctly based on the description alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so there is no parameter semantics for the description to clarify. The baseline for a parameterless tool is 4; the description does not mislead, and no additional parameter explanation is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool pitch_deck_precheck') and adds an irrelevant catalog URL note. It never states what a pitch deck precheck actually does, what it validates, or what output it produces. This is closer to a tautology than a functional description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus the many sibling tools such as generate_pitch_deck_content, run_credit_screen, or prepare_ic_memo_outline. The description only mentions a live catalog and provides no usage context, prerequisites, or exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Parse a review prompt into an editable plan sheet (objective, sources, access, checks, deliverables, cost/entitlement, blockers) without executing. One Authorize and run grants the complete read-only plan.
| Name | Required | Description | Default |
|---|---|---|---|
| pack | No | ||
| tier | No | Tier determines autonomy and capabilities | |
| jobId | No | Optional Job ID from a previous plan_harness_job call | |
| intent | No | Type of analysis to run | |
| prompt | No | Free-text review request. Parsed into objective, sources, checks, and deliverables when structured fields are omitted. | |
| rubric | No | Blueprint ID for firm playbook | |
| target | No | Target entity and deal context | |
| fixture | No | ||
| sources | No | Evidence sources to pull from | |
| metadata | No | Additional context | |
| documents | No | ||
| planSheet | No | Edited plan sheet. Persisted before Authorize and run. | |
| workspaceId | No | Workspace that owns the job and its artifacts | |
| deliverables | No | Output deliverables | |
| presentDocuments | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of disclosing side effects and safety; it does state that the tool does not execute and produces a read-only plan, which are important traits. It fails to clarify the persistence/authorization behavior, the role of jobId, or the meaning of 'One Authorize and run grants,' leaving the behavioral story incomplete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one dense sentence and front-loads the core verb and resource, with the plan-sheet field list packing useful information into a small space. The awkward 'One Authorize and run grants' phrase costs some clarity, but there is no fluff or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 15-parameter tool with no annotations and no output schema, the description gives the central workflow but omits guidance for important optional inputs like planSheet, jobId, workspaceId, and deliverables. It is minimally serviceable for a first call with just prompt, but an agent would be under-equipped to handle edit/persist and continuation flows.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is already high (73%), so the schema documents most parameters; the description adds the plan-sheet breakdown including access, cost/entitlement, and blockers beyond the schema. It neither compensates for the few undocumented fields such as fixture, tier, or metadata, nor describes how prompt and planSheet interact with one another.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a concrete action — parsing a review prompt into an editable plan sheet — and enumerates the plan sections, so an agent can tell this is a planning step, not an execution tool. The phrase 'without executing' further separates it from execution siblings like run_harness_job, though it never names that alternative explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It communicates the intended use case: turn a review request into an editable plan before running anything, and the final phrase points to an authorize/run handoff. However, it does not explicitly say when to prefer this over run_harness_job/resume_harness_job or when not to use it, so the routing guidance is implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool prepare_ic_memo_outline. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations and no behavioral disclosure whatsoever. The description does not state side effects, required context, output behavior, or anything about what happens when the tool is invoked.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not meaningful: one sentence is a tautology and the other merely points to an external URL. Neither sentence earns its place by conveying functional information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations and no output schema, the description is the agent's only source of context, yet it is functionally empty. An agent cannot determine what the tool does, when to call it, or what it will return.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero input parameters, so the schema already fully covers the parameter surface. The description adds no parameter-level detail, but none is required given there are no parameters to document.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool prepare_ic_memo_outline') and points to a live catalog URL; it never states a verb, resource, or outcome. This is effectively a tautology, since the only functional hint comes from the name itself.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use guidance or alternatives are provided. The description does not mention when to choose this tool over siblings like generate_cim_content or run_professional_memo, and the catalog link is not a usage instruction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool put_document_text. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description is the sole source of behavioral information. It discloses nothing about side effects, input handling, output, or required context. The catalog link is not behaviorally meaningful.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but empty of substance. Brevity is only a virtue when the content conveys meaning; here it is under-specification, not conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and an empty input schema, the description bears the full burden of explaining the tool. It fails to provide any actionable information, leaving an agent unable to call the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero named parameters and schema coverage is effectively complete, so there is little for the description to add. The 0-parameter baseline applies, though the schema's additionalProperties: true does leave some ambiguity about accepted payload.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name and references a live catalog URL. It contains no verb, resource, or functional explanation. This is a tautology that tells an agent nothing about what the tool actually does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any of the many sibling tools. No prerequisites, context, or alternatives are mentioned. An agent would have no basis to select this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool register_document_template. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior, but it discloses none. There is no mention of side effects, permissions, persistence, or what happens when a template is registered. The URL note adds no behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity here is under-specification rather than conciseness. The first sentence merely restates the tool name, and the second sentence adds a URL without functional value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and no parameter details, the description needed to explain purpose and behavior fully. Instead it provides none of that, making the definition inadequate for an agent to select or invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero documented parameters and schema description coverage is 100%, so the baseline is 4. However, the schema allows additionalProperties true, and the description provides no hint about what free-form fields might be accepted, which prevents a higher score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description never states a verb, action, or resource. It only repeats the tool name and points to a URL, leaving the agent to guess that 'register' means creating or saving a document template. This is effectively missing purpose clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or how it differs from siblings such as finalize_document_template. The description offers no selection criteria, prerequisites, or context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool render_document. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, but it offers none. It does not indicate whether the tool reads, writes, mutates, or returns data, nor any side effects or permissions required.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short in length but under-specified rather than concise. The single sentence contains only a name echo and a URL, both of which provide no actionable information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, an empty input schema, and no explanatory content, the description is wholly inadequate. An agent has no basis to determine inputs, expected outputs, or behavioral consequences.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool declares zero parameters and schema coverage is 100% vacuously. Per the baseline rule for 0 params, the description need not document parameter semantics, so this dimension receives a passing score despite the description adding nothing.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the tool name and gives a URL, but never states what the tool does. There is no verb indicating an action, no resource being rendered, and no clarification of what 'render_document' produces.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus any of the 60+ siblings. It does not mention context, prerequisites, or alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Resume a stalled or interrupted harness job from its last checkpoint. Uses the job store's resume logic to detect stale running jobs and mark them retryable.
| Name | Required | Description | Default |
|---|---|---|---|
| jobId | Yes | Job ID returned from run_harness_job or plan_harness_job | |
| workspaceId | Yes | Workspace that owns the job |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does add useful behavior ('detects stale running jobs and mark them retryable'), but it leaves ambiguity about whether resume actually re-executes the job or only marks it for retry, and it does not disclose side effects, idempotency, or behavior when called on a non-stalled job. Some value added, but meaningful gaps remain.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with zero filler: the first establishes the action and scope, the second earns its place by disclosing the resume mechanism. The purpose is front-loaded and the description is appropriately sized for a two-parameter tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a state-changing tool with no output schema and no annotations, the description should clarify what the caller receives (e.g., updated job status or a new checkpoint) and what happens in edge cases like a non-stalled job. It covers the core operation but leaves the outcome and error behavior underspecified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The schema itself already documents both parameters well, with jobId even referencing the sibling tools that produce it. The description adds no parameter-level detail, but none is needed given the schema's completeness.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action (Resume), a specific resource (harness job), and a specific scope (stalled or interrupted, from its last checkpoint). This clearly distinguishes it from the lifecycle siblings run_harness_job (start), plan_harness_job (plan), cancel_harness_job (stop), and get_harness_job (status). An agent can tell them apart without opening the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The condition for use is stated directly ('stalled or interrupted harness job'), which gives the agent clear context on when to call it. However, it does not name alternatives or give when-not guidance, such as 'to start a fresh run, use run_harness_job' or 'to abandon a job, use cancel_harness_job'. Sibling routing is left to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_cim. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description discloses no behavioral traits whatsoever. It does not state side effects, return behavior, required context, or limitations, so the agent has no way to anticipate what calling this tool will do.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but this is under-specification rather than effective conciseness. The single sentence does not add actionable information beyond the name itself.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and no behavioral detail, the description is completely inadequate for a tool that an agent must select and invoke correctly. The external URL reference does not compensate for the absence of local, actionable context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters, and the schema description coverage is 100%, so the baseline of 4 applies. However, the schema allows additionalProperties, and the description gives no guidance about what arbitrary input might be expected, which slightly limits the usefulness.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: it restates the tool name ('MCP-Agents tool run_cim') and adds only a reference to a live catalog URL. It gives no verb, resource, or function, and does nothing to distinguish run_cim from its many siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool or when to prefer an alternative. Despite many closely related sibling tools such as generate_cim_content, no comparison or selection context is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_competitive_landscape. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure. It reveals nothing about side effects, auth requirements, rate limits, or what happens when the tool runs. The catalog link is not a behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but not usefully concise. The only sentence beyond the name echoes the name and points to a URL without adding functional content, so it does not earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even with no params and no output schema, an agent still needs to know the tool's purpose to decide when to call it. This description provides none of that context, leaving the tool effectively unusable from a decision-making perspective.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema already fully covers parameter semantics. The description does not need to add any parameter-level detail, and the baseline for 0 params is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and mentions it is the same as a live catalog. It uses no verb or resource to describe the tool's function, so an agent cannot determine what action run_competitive_landscape performs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, no prerequisites, and no mention of alternative tools. The sentence about the live catalog is a pointer, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_comps_analysis. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavior, but it says nothing about execution, inputs, outputs, side effects, or remote behavior. The live-catalog reference offers no operational detail, so the agent is fully in the dark about what invoking this tool entails.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity is not the same as conciseness. The first sentence is redundant with the tool name)Skip, and the second sentence about the live catalog does not help an agent use the tool. It is under-specified rather than economically specified.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Even with zero parameters illustration, a tool with this name, no annotations, no output schema, and a large sibling set needs at least a one-sentence functional summary. This description provides none, so the agent cannot safely select or invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters, so the schema is already unambiguous about inputs. The description adds no parameter detail, but with no required parameters and no schema-defined properties, this is not a meaningful gap; arbitrary additionalProperties are allowed but unconstrained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'MCP-Agents tool run_comps_analysis' is a tautology that merely restates the tool name without specifying what the tool does. The only additional detail, 'Same name as the live catalog...', provides provenance but no functional meaning, leaving an agent unable to determine the tool's purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus siblings like run_quantitative_analysis, run_competitive_landscape, or run_credit_screen. An agent cannot tell which scenario calls for comps analysis or what distinguishes it from the many other run_* tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_credit_screen. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior, side effects, and safety. It discloses nothing beyond the tool's name and catalog equivalence, so the agent cannot know if this is read-only, mutating, long-running, or permission-sensitive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The definition is under-specified rather than concisely informative. The phrase 'MCP-Agents tool run_credit_screen' is redundant, and the URL reference consumes space that should have been used to describe the tool's function. There is no front-loaded purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a domain-specific credit tool among roughly 70 siblings, with no output schema and no annotations, the description must explain what the tool does, what inputs it needs, and what it returns; it does none of this. The catalog URL is not actionable for tool selection or invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With zero declared parameters and 100% schema coverage, the description has little parameter documentation burden, so the baseline is 4. The only caveat is additionalProperties:true, which the description leaves unexplained, but no named parameters are missing.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description never states a verb, resource, or function. 'MCP-Agents tool run_credit_screen' merely restates the tool name, and 'Same name as the live catalog...' only references an external URL. It is a tautological definition that does not distinguish this from siblings like run_deal_screening or run_risk_discovery.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any alternative. The description includes no conditions, prerequisites, or exclusions. An agent has no basis for deciding whether run_credit_screen is the appropriate tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_data_extraction. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose side effects, safety, and expectations. It contains none of that—nothing about whether extraction is read-only, whether it creates or alters data, what it returns, or any constraints. It does not even describe the behavior at all.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but short is not concise when the sentences carry no functional content. It spends words restating the name and pointing to a catalog instead of stating behavior, so it is under-specified rather than efficiently written.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and no description of the operation, the agent has nothing to infer invocation semantics from. Even the tool's purpose is absent aside from its name, making the definition inadequate for correct use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero named parameters and 100% coverage, so there are no parameter documentation gaps for the description to compensate for, giving a baseline of 4. The description misses the chance to explain the open additionalProperties object, but no explicit parameter gap exists.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially 'this tool is named run_data_extraction and matches a live catalog entry'; it states no operation, no resource, and no outcome. It only restates the tool's name and points to an external catalog, so an agent cannot tell what the tool does from the description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to call this tool, what inputs or prerequisites it needs, or how it differs from the many sibling run_* tools. The only hint is an external catalog URL, which is not actionable for selecting or invoking the tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_dcf_valuation. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of disclosing side effects, inputs, outputs, or required context; it discloses none of these. The phrase 'Same name as the live catalog' only asserts identity and gives no behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but brevity is not value: two sentences restate the tool name and URL without earning their place. This is under-specification rather than disciplined conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a valuation tool with no annotations, no output schema, and an open input schema, this description leaves every operational question unanswered: what it computes, what it needs, what it returns, and when to use it. It is far too incomplete for an agent to select or call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Context indicates zero parameters and 100% schema description coverage, so the baseline is 4; the description adds nothing about arguments, but there are none to document. The open additionalProperties schema means arbitrary properties could be passed, but the description offers no guidance on that, matching the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool run_dcf_valuation') and points to a URL, without stating what action the tool performs, what resource it acts on, or how it differs from siblings like run_comps_analysis or run_lbo_model. An agent cannot tell what 'DCF valuation' means here beyond the name itself.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to invoke this tool or which alternative to prefer among the many run_* siblings. The URL reference provides no decision context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_dd_workflow. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of explaining behavior, but it discloses nothing: no effects, no side effects, no inputs, no outputs, no prerequisites, and no return behavior. The agent cannot predict what invoking this tool will do.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but brevity here is not conciseness—it is under-specification. The first sentence is a tautological label, and the second sentence provides an irrelevant naming/catalog detail. The few words do not earn their place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a workflow tool with many similarly named siblings, no annotations, no parameter documentation, and no output schema, this description is completely inadequate. An agent cannot determine what the tool does, when to invoke it, or what arguments may be required.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema reports zero documented parameters, so there is little for the description to clarify; with 0 params the baseline is 4. However, the schema has 'additionalProperties: true', suggesting arbitrary inputs may be accepted, and the description does not address that ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool run_dd_workflow') and points to a live catalog URL. It does not state a verb, a resource, or what the workflow actually does, and it gives the agent no way to distinguish this from the many other run_* tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, when not to use it, or which sibling tool might be a better fit. The sentence about the live catalog URL offers no actionable usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_deal_screening. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing about side effects, required context, or what happens when invoked. The only behavioral claim is that the name matches a live catalog, which is irrelevant to an agent deciding to call it.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but under-specified rather than concise. It spends its only sentence on a tautological name match and a URL, which does not help an agent understand the tool. It is not front-loaded with useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and an open input schema, the description is completely inadequate. An agent has no idea what inputs to provide, what the tool returns, or what side effects to expect. The sibling list shows many similar run_* tools, and this description does nothing to disambiguate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema is open (additionalProperties: true), so there is no parameter semantics burden. The description adds no parameter meaning, but with no parameters to document, a baseline of 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology: it restates the tool name and references a live catalog URL without explaining what the tool does. It does not state a verb, resource, or outcome, and it does not distinguish itself from siblings like run_credit_screen or run_dd_workflow.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description only says the name matches a live catalog, which provides no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_document_intelligence. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, but it discloses nothing about side effects, authentication, long-running behavior, or return values. The sentence merely names the tool and equates it with a catalog entry.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but shortness is not conciseness when the content is uninformative. The only substantive clause points to a catalog URL, which does not help an agent invoke the tool. Every sentence should add value, and this one does not.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, an open input schema, and a generic name, the description leaves almost all invocation context missing. An agent cannot know what inputs to pass, what the tool returns, what it analyzes, or what side effects to expect. This is critically incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has zero declared parameters and 100% coverage, so there are no parameter descriptions needed. The baseline for zero-parameter tools is 4, and the description does not mislead about parameters. However, the schema allows additionalProperties, so some clarification of accepted inputs would have been helpful, but this is not required by the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and points to a live catalog URL; it never states what run_document_intelligence actually does. An agent cannot infer whether this invokes an AI document analysis, runs OCR, or triggers a background job. It provides no verb or resource that would distinguish it from siblings like run_data_extraction or run_statement_qa.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus any of the many run_* sibling tools. The reference to the live catalog is not a usage condition or selection criterion. An agent has no basis for deciding to call this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_earnings_analysis. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses nothing: no side effects, required inputs, permissions, side effects, or output characteristics. The catalog reference is non-informative.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity here is under-specification, not conciseness. The sentence 'Same name as the live catalog on https://...' adds no actionable information and does not earn its place. A useful description would replace it with functional content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is one of many similar analysis tools, has no annotations, no parameter documentation, and no output schema. The description provides none of the context an agent needs to understand inputs, expected behavior, or results. It is wholly inadequate for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero defined parameters and schema coverage is 100%, so the description does not need to explain parameters. The schema permits additionalProperties, but there are no named inputs to document. Baseline 4 for the zero-parameter case is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and points to a URL ('MCP-Agents tool run_earnings_analysis. Same name as the live catalog...'). It does not state what the tool does, what resource it acts on, or what outcome it produces. This is essentially a tautology and gives no basis to distinguish the tool from its many run_* analysis siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use run_earnings_analysis versus alternatives such as run_comps_analysis, run_credit_screen, or run_quantitative_analysis. It does not mention conditions, prerequisites, or exclusions, leaving the agent with no decision criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_entity_compliance. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of behavioral disclosure. It discloses no effects, side effects, return behavior, permissions, or constraints; the only substantive clause is an external URL reference, not a behavioral statement.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but not appropriately informative; the first sentence merely repeats the tool name and the second points to a catalog URL. This is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a generic object schema, the description is the only source of functional guidance. It fails to explain what the tool does, what inputs it accepts, what outputs it returns, or how it differs from similar sibling tools, so an agent cannot confidently invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema declares zero parameters and zero required fields, so there are no parameter meanings the description must add; baseline for 0 params is 4. However, `additionalProperties: true` permits arbitrary inputs, and the description gives no hint about what keys might be accepted or expected.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description simply restates the tool name ('MCP-Agents tool run_entity_compliance') and points to a URL; it never states what the tool does, what resource it acts on, or what outcome it produces. This is essentially a tautology with no functional verb or object.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool or how it relates to the many sibling run_* tools. The description provides no context for selecting it over alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_financial_statement_spread. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden of behavioral disclosure. It reveals nothing about side effects, inputs, outputs, or operation semantics—'same name as the live catalog' is metadata, not behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but wastes its only sentence on a name repetition and a URL reference. This is under-specification rather than effective conciseness, and no useful information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a compound financial-domain name, no annotations, no output schema, and no behavioral description, the definition is woefully incomplete. An agent cannot determine correct invocation, expected inputs, or output shape.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has zero parameters and the description adds no parameter documentation, which is acceptable for a zero-parameter tool. However, the schema's additionalProperties:true is not clarified, so an agent still cannot know whether arbitrary arguments are expected or accepted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool run_financial_statement_spread') and says it shares a name with a live catalog. There is no verb, resource, or functional statement, making it a tautology that fails to distinguish it from dozens of sibling run_* tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as run_statement_qa or run_credit_screen. There is no context, no condition, and no mention of exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Authorize and execute a complete read-only analyst harness plan. One job-level authorization; no email or external writes.
| Name | Required | Description | Default |
|---|---|---|---|
| pack | No | ||
| tier | No | Tier determines autonomy and capabilities | |
| jobId | No | Optional Job ID from a previous plan_harness_job call | |
| intent | No | Type of analysis to run | |
| prompt | No | Free-text review request. Parsed into objective, sources, checks, and deliverables when structured fields are omitted. | |
| rubric | No | Blueprint ID for firm playbook | |
| target | No | Target entity and deal context | |
| fixture | No | ||
| sources | No | Evidence sources to pull from | |
| metadata | No | Additional context | |
| documents | No | ||
| planSheet | No | Edited plan sheet. Persisted before Authorize and run. | |
| workspaceId | No | Workspace that owns the job and its artifacts | |
| deliverables | No | Output deliverables | |
| presentDocuments | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses key behavior: requires authorization, executes a plan, is read-only, and makes no email or external writes. This goes beyond a simple 'run job' and adds meaningful constraints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that front-loads the action and primary purpose, then adds a critical constraint. No filler or redundant phrasing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (15 parameters, no output schema, no annotations), the description efficiently covers the purpose, key behavioral constraints, and the relationship to plan_harness_job. It does not detail return values, but no output schema exists, so the agent may need more. Still, it is strong for the context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 73%, and the description mentions the core parameter 'jobId' and the free-text 'prompt' parsing behavior. It does not explain every parameter, but given high coverage, the baseline of 3 is appropriate. It adds context about jobId and prompt that is not in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Authorize and execute'), a clear resource ('complete read-only analyst harness plan'), and distinguishes it from siblings by emphasizing it is the execution counterpart to plan_harness_job and read-only. It clearly differentiates from run_* and get_harness_job tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly states when to use (after planning, optional jobId from plan_harness_job) but does not explicitly say when not to use or name alternatives like 'use get_harness_job to check status'. It gives context for authorization and mentions read-only nature, which helps route away from write tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_lbo_model. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing behavior. It fails to mention whether the tool is read-only, mutates state, runs a long computation, requires configuration, or produces a report. The only behavioral claim is that the name matches a catalog entry, which reveals nothing about tool behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity here reflects under-specification rather than conciseness. The phrase 'MCP-Agents tool run_lbo_model' is redundant with the tool name, and the URL reference is metadata rather than useful operational instruction. No content is front-loaded because there is almost no content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and an empty input schema, the description needed to explain what an LBO model run entails, what inputs are required, and what result the agent can expect. It provides none of this, leaving the tool a black box. This is inadequate for an agent to call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero declared parameters and the schema has 100% coverage because there is nothing to cover. The 0-parameter baseline of 4 applies. However, the schema does permit arbitrary additional properties, and the description adds no guidance about whether any dynamic inputs are accepted, so it does not exceed that baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: it only restates the tool name ('MCP-Agents tool run_lbo_model') and adds an identity claim ('Same name as the live catalog'). It never states what the tool does, what an LBO model calculation involves, or what it returns. There is no verb-plus-resource explanation that would help an agent distinguish it from siblings like run_merger_model.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to invoke this tool, what inputs are expected, what prerequisites exist, or how it differs from the many similar run_* sibling tools. The description provides zero context for selecting this tool over alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_merger_model. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing: no side effects, inputs, outputs, duration, or prerequisites. The only added fact is that the name matches a live catalog entry, which is irrelevant to invocation behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but wastes its only sentence on a name restatement and a URL. This is under-specification rather than genuine conciseness; no sentence earns its place through informative content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a likely complex model-running tool with no annotations, no output schema, and many related siblings, this description is radically incomplete. An agent has no basis to decide to call it, know what inputs to pass, or interpret what happens after invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters and the schema coverage is effectively complete. With no parameters to document, the description need not explain parameter semantics; baseline 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool run_merger_model') and points to a live catalog URL. It never states what the tool does, what a merger model is, or what invoking it accomplishes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. With many sibling run_* tools (run_lbo_model, run_dcf_valuation, run_credit_screen, etc.), the definition provides zero differentiation or selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_portfolio_analytics. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, but it says nothing about side effects, runtime, read-only versus mutating behavior, or required credentials. The external catalog link is a pointer, not a disclosure of tool behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
At roughly fifteen words, it is short, but every word is filler: one sentence repeats the tool name and the other points to a URL. This is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description omits purpose, inputs, outputs, and behavior. With no annotations, no output schema, and no parameter definitions, this is far too sparse for an agent to invoke the tool correctly, especially given the large set of run_* siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero named parameters, and the schema only allows arbitrary additional properties, so there is little for the description to add. This meets the zero-param baseline of 4, even though the description offers no hints about what an arbitrary payload might contain.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool run_portfolio_analytics') and points to a catalog URL; it never states what action is performed or what result is produced. This is a tautology plus a link, so an agent cannot distinguish it from run_quantitative_analysis or fetch_portfolio_metrics.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus the many similar run_* siblings, nor any prerequisites or contextual trigger. The only usage signal is the name 'run_portfolio_analytics', which forces the agent to infer intent rather than receiving explicit direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_professional_memo. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavioral traits, but it provides none. It does not mention side effects, read/write behavior, authentication needs, output, or anything operational beyond a catalog URL.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but it is under-specified rather than concise. The first sentence is a tautology and the second is a URL reference, wasting the only two sentences on non-functional information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and a description that explains nothing about behavior or usage. Given the large set of sibling tools with similar run_* names, this is far too incomplete for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema declares zero properties and the context reports 0 parameters, so there is little specific parameter meaning to add. However, additionalProperties: true leaves open the possibility of free-form inputs, and the description gives no hint about expected arguments, so the baseline is not fully earned.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is tautological: 'MCP-Agents tool run_professional_memo' merely restates the tool name, and the only other clause points to a URL. It never states what a professional memo is, what it does, or how it differs from siblings like run_cim or prepare_ic_memo_outline.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus any of the many run_* siblings. No scenarios, prerequisites, or alternatives are mentioned, so an agent cannot decide whether this is the correct tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_quantitative_analysis. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, and the description discloses no behavioral traits: no side effects, no data access, no dependencies, no output behavior. 'Same name as the live catalog' is an identity pointer, not a behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but it is under-specified rather than concise: it uses one sentence that contributes almost no operational information. It is not structured or front-loaded around the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and a one-line description that only names the tool, an agent cannot determine inputs, outputs, or when to invoke it. This is critically incomplete for a tool with a generic name like run_quantitative_analysis.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool exposes zero documented parameters (schema coverage is 100%), so per the rubric a score of 4 serves as the baseline even though the description adds nothing. The only wrinkle is additionalProperties:true, which the description does not address, but with no defined parameters this is a minor gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name and points to a URL; it never states a verb, process, or outcome. It reads as a tautology and gives an agent no idea what quantitative analysis means here.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to choose this tool over the many sibling analysis tools (run_comps_analysis, run_dcf_valuation, run_earnings_analysis, etc.). The description contains no conditions, exclusions, or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_risk_discovery. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It says nothing about side effects, scope, required context, or outputs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but the two sentences are uninformative - the second sentence merely gives a URL. This is under-specification rather than purposeful conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and an empty schema, so the description is the only source of guidance. It leaves purpose, invocation context, and expected result entirely undefined.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are 0 declared parameters and 0 required parameters, so the schema already fully covers the parameter contract. The empty description does not harm this dimension.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name and says it matches a live catalog entry. It never states what the tool does, what operation it performs, or what 'risk discovery' produces.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to run risk discovery, what data it requires, or how it differs from sibling tools like run_credit_screen or run_entity_compliance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_sector_overview. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states neither effects, side effects, return behavior, nor any operational constraints. The only extra claim—that the tool shares a name with a live catalog—does not describe the tool's runtime behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short, but that is under-specification rather than conciseness. Neither sentence earns its place: the first repeats the tool name, and the second points to a URL without conveying functional content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having no required parameters or output schema, the definition is still profoundly incomplete for an opaque tool name like run_sector_overview. An agent cannot determine what inputs are expected, what the tool returns, or what action it performs; the URL hint is insufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema declares zero named parameters and the context confirms a parameter count of 0, so there are no parameter semantics for the description to add. The baseline for zero-parameter tools applies; the description's silence on parameters is not a meaningful gap, though additionalProperties: true is left unexplained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology: 'MCP-Agents tool run_sector_overview' restates the tool name and adds no verb, resource, or outcome. Mentioning that it has the same name as a live catalog URL does not explain what the tool does, and it is impossible to distinguish from sibling run_* tools based on this text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, when not to use it, or how it compares to alternatives such as run_competitive_landscape, run_credit_screen, or run_risk_discovery. The description provides no decision-relevant context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool run_statement_qa. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of disclosing side effects, safety profile, or return behavior. It discloses none of these; the URL reference adds no behavioral information about what the tool does or what state it changes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The text is short but under-specified rather than genuinely concise. Neither clause earns its place: the first is a tautological restatement of the name, and the second is an external reference that does not explain behavior or usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, an open input schema, and a description that provides no functional meaning, the definition is far from complete. An agent cannot reliably know what inputs are expected, what output will look like, or what side effects the tool may have.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema declares zero named parameters and zero required parameters, so the description has little parameter-level documentation burden. The input schema is an open object (additionalProperties: true), which introduces some ambiguity, but the description is not required to explain non-existent formal parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name as 'MCP-Agents tool run_statement_qa' and says it has the same name in an external catalog. It never states what the tool does, what 'statement QA' means, or how it differs from sibling run_* tools such as run_credit_screen or run_dd_workflow.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool, what problem it solves, or when to prefer an alternative. The external URL hint is not a usage guideline and does not help an agent decide between this and the many similar sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool set_model_policy. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description is the only behavioral disclosure, and it discloses nothing: no side effects, permissions, reversibility, or consequences of setting a model policy. The phrase 'Same name as the live catalog' is metadata, not behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity here reflects under-specification rather than efficient writing. The only substantive sentence points to a URL and repeats the tool name, so it does not earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and an open input schema, leaving the description with the full burden of explaining what happens when invoked. It completely fails to describe the operation, inputs, outputs, or prerequisites, making it inadequate for safe selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool exposes zero defined parameters, so there are no parameter semantics for the description to clarify. Per the baseline for zero-parameter tools, a 4 is appropriate even though the description itself adds no parameter information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely restates the tool name ('MCP-Agents tool set_model_policy') and adds a URL reference, without stating what setting a model policy actually does. There is no verb-plus-resource explanation that would distinguish it from siblings like get_model_policy, set_model_tier, or toggle_model.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given for when to use this tool or when to prefer an alternative. The description does not mention related operations like get_model_policy or set_model_tier, and the URL comment provides no decision-making context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool set_model_tier. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavior, but it only gives an identity/location note. It does not mention side effects, state changes, permissions, idempotency, or return behavior, leaving even the core action ambiguous.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but the two sentences do not earn their place: one restates the tool name and the other only points to an external catalog. This is under-specification rather than effective conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This tool lacks annotations, output schema, and parameter definitions, so the description must provide essential context, but it provides almost none. An agent cannot determine what the tool does, when to call it, what arguments to supply, or what to expect in return.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero defined parameters and no documented properties, so the zero-parameter baseline applies. The description adds no parameter information, but there are no declared params to explain; the unexplained additionalProperties:true is a minor gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only restates the tool name ('MCP-Agents tool set_model_tier') and references a live catalog URL, but never states what setting a model tier actually does. It provides no functional definition and does not differentiate this tool from siblings like set_model_policy or toggle_model.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no context about the intended workflow. The external URL is a location hint, not a usage guideline.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool setup_fiat_mandate. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing: no side effects, no required prior steps, no confirmation behavior, no reversibility, no security or compliance context. The only added fact is that the tool shares a name with a live catalog entry, which is not behavioral information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concise. The single sentence spends its space on a tautology and a URL reference instead of explaining the tool's function. It is not front-loaded with useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a setup/mutation tool with no annotations, no output schema, and no parameter details, the description is completely inadequate. An agent has no idea what a fiat mandate is in this domain, what inputs it might need, what the tool returns, or how it relates to payment setup siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema is open with additionalProperties true, so there is no parameter semantics burden on the description. The baseline for 0 params is 4, and the description does not need to explain parameters. However, the open schema means an agent might still wonder what properties are accepted, but with 0 declared params this is not a description failure.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: it restates the tool name and says it is the same as a live catalog entry. It never states what the tool does, what a fiat mandate is, or what 'setup' accomplishes. An agent cannot tell this apart from siblings like initiate_payment_setup or check_payment_setup.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description does not mention initiate_payment_setup, check_payment_setup, or any other payment-related sibling, nor does it state any conditions or prerequisites for setting up a fiat mandate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool submit_documents. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It discloses nothing: no side effects, no required authentication, no data flow, no return behavior. The only behavioral hint is the name 'submit_documents', which implies an action, but the description adds zero context beyond that.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but it is under-specified rather than concise. The first sentence is a tautology ('MCP-Agents tool submit_documents') and the second sentence is a URL reference that provides no functional information. Every sentence fails to earn its place because neither conveys what the tool does.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations, no output schema, and an open input schema, the description is completely inadequate. An agent has no idea what inputs to provide, what the tool does, what it returns, or when to use it. The URL reference to a live catalog is not actionable within the MCP context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters and the schema is an open object with additionalProperties true, so there is nothing for the description to explain. With no parameters, a baseline of 4 is appropriate; the description cannot add parameter meaning because there are none. The open schema is a minor concern, but the description is not responsible for documenting nonexistent parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: 'MCP-Agents tool submit_documents. Same name as the live catalog on https://agents.securelend.ai.' It restates the tool name and points to a URL, but never states what the tool actually does—no verb, no resource, no action. An agent cannot determine what submitting documents entails or how it differs from siblings like display_upload_documents_form or put_document_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance whatsoever about when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions. The sibling list contains many document-related tools (display_upload_documents_form, put_document_text, get_document_preview), but the description gives no hint about which one to choose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool submit_tool_feedback. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention side effects, whether feedback is recorded or sent, authentication requirements, or return behavior. 'Same name as the live catalog' is not a meaningful behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity is not conciseness when neither sentence earns its place. One sentence duplicates the tool name and the other is an external-catalog reference, leaving the reader without a functional explanation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and an open input schema, the description is the only source of operational guidance. It fails to explain what feedback should contain, how the tool behaves, what a successful call returns, or any constraints. This is inadequate even for a superficially simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero named parameters, so the baseline for this dimension is 4; the description is not required to document parameter details because the schema defines none. The open 'additionalProperties' is a minor ambiguity, but with no formal parameters the parameter-semantics burden is low.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is essentially a tautology: 'MCP-Agents tool submit_tool_feedback' restates the tool name without adding a verb, resource, or outcome. The second sentence mentions a live catalog URL but does not clarify what the tool actually does. It provides no differentiation from the many sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool, what scenario it addresses, or which alternatives might be more appropriate. The URL reference is not a usage directive and gives no context about when an agent should call submit_tool_feedback versus any other tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool submit_underwriting_case. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It does not mention whether this creates a new record, triggers a workflow, requires authentication, has side effects, or returns a result. Agents are left entirely in the dark about what calling this tool actually does.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but this is under-specification rather than conciseness. The two sentences do not earn their place because they offer no operational information, only a restatement of the name and a URL reference.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool named submit_underwriting_case with no annotations, no output schema, and no parameter docs, the description is entirely inadequate. An agent cannot determine the purpose, data required, workflow placement, or result of this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero defined parameters and the input schema only consists of a root object with additionalProperties: true. Since no parameter semantics need to be documented, the 0-params baseline of 4 applies; the description adds nothing but the schema imposes no parametric burden.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is a tautology: 'MCP-Agents tool submit_underwriting_case' merely restates the tool name, and 'Same name as the live catalog' adds no functional meaning. It fails to state what the tool does, what an underwriting case is, or what submitting entails, and it does not distinguish the tool from its siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as submit_documents, run_credit_screen, or prepare_ic_memo_outline. There is no mention of prerequisites, sequencing, or exclusions, so an agent has no basis for selecting it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool sync_connected_provider. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits, but it says nothing about side effects, required permissions, or response behavior. It does not contradict annotations (none exist), but it fails to inform.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, which is good for conciseness, but it conveys almost no information, making it under-specified rather than efficiently concise. The URL is a minor addition but does not add functional value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no parameters and no output schema, the description should still explain its purpose and context, but it doesn't. The agent has no idea what syncing a provider means or why to use it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters, and the schema is empty with 100% coverage. The description adds no param details, but there are none to explain, so a baseline of 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description is nearly empty: it states the tool name and a URL, but does not specify any verb, resource, or action. It is a tautology of the name and provides no differentiation from siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus any sibling. There is no mention of context, prerequisites, or alternatives, leaving the agent without direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool toggle_model. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist and the description discloses no behavior: nothing about side effects, persistence, state changes, reversibility, or what toggling means. The external URL does not substitute for behavioral clarity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but is under-specified rather than concise: it contains a tautological phrase and a pointer to a URL, neither of which earns its place by adding functional guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description is the only source of context. It fails to explain what model is toggled, what the toggle does, what the response is, or whether it is safe/read-only. The existing sibling names suggest a domain but do not make the tool callable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters, so there is nothing the description needs to clarify beyond the schema. The schema's additionalProperties: true is slightly ambiguous, but with no formal parameters the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description only repeats the tool name and points to an external catalog, without stating what the tool does, what gets toggled, or what the effect is. It provides no verb-resource relationship and does not distinguish toggle_model from similar siblings like set_model_tier or list_models.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. No usage context, prerequisites, or routing cues are provided, leaving the agent to guess whether to call toggle_model or one of the many sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
MCP-Agents tool track_deal_status. Same name as the live catalog on https://agents.securelend.ai.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals nothing about side effects, read-only vs. mutating behavior, return values, or error conditions, leaving the tool's behavior a black box.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, but brevity here is under-specification, not conciseness. The first sentence is redundant with the tool name, and the second points to an external URL without explaining why that matters for invocation, so neither sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the tool's simple zero-parameter surface, the description conveys almost no usable context: nothing about what a 'deal status' is, what the tool returns, whether it is read-only, or any other operational details. The lack of an output schema makes this gap worse because the description should clarify return behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero declared parameters, so the description has no parameter semantics to add; the baseline for no-parameter tools is 4. The schema already communicates the absence of properties, and nothing is missing from the description on this dimension.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description merely repeats the tool name and references an external catalog URL; it never states what the tool does, what resource it acts on, or what 'track deal status' means. It does not distinguish the tool from siblings like get_deal_workspace or get_loan_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no context or prerequisites, and no mention of why this tool exists among many deal-related tools. The agent is left entirely to infer usage from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
build_data_packbuild_diligence_checklistcancel_harness_jobcheck_payment_setupconfigure_data_providerconfigure_model_providercreate_custom_blueprintcreate_deal_workspacedisplay_upload_documents_formfetch_company_intelligencefetch_crm_contextfetch_docsend_documentfetch_portfolio_metricsfetch_public_filingsfinalize_document_templategenerate_business_casegenerate_buyer_listgenerate_cim_contentgenerate_pitch_deck_contentgenerate_strip_profilegenerate_teaserget_attributed_factget_collections_queueget_data_provider_statusget_deal_workspaceget_document_previewget_harness_jobget_loan_statusget_memo_statusget_model_lineageget_model_policyget_vertical_plugininitiate_payment_setuplink_to_firmlist_custom_blueprintslist_deal_workspaceslist_modelslist_pricinglist_rubric_templateslist_vertical_pluginspitch_deck_precheckplan_harness_jobprepare_ic_memo_outlineput_document_textregister_document_templaterender_documentresume_harness_jobrun_cimrun_competitive_landscaperun_comps_analysisrun_credit_screenrun_data_extractionrun_dcf_valuationrun_dd_workflowrun_deal_screeningrun_document_intelligencerun_earnings_analysisrun_entity_compliancerun_financial_statement_spreadrun_harness_jobrun_lbo_modelrun_merger_modelrun_portfolio_analyticsrun_professional_memorun_quantitative_analysisrun_risk_discoveryrun_sector_overviewrun_statement_qaset_model_policyset_model_tiersetup_fiat_mandatesubmit_documentssubmit_tool_feedbacksubmit_underwriting_casesync_connected_providertoggle_modeltrack_deal_status
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