Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Activate') but doesn't explain what activation entails, whether it requires specific permissions, if it's reversible, what side effects occur, or what the response looks like. This leaves significant behavioral gaps for a mutation tool.

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, efficient sentence with zero wasted words. It's appropriately sized for a simple operation and front-loads the essential information about 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 mutation tool with no annotations, no output schema, and incomplete behavioral context, the description is insufficient. It doesn't explain what 'activate' means operationally, what happens after activation, or how this differs from related tools like 'deactivate_schedule', leaving the agent with inadequate information for proper 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?

With only 1 parameter and 0% schema description coverage, the description compensates by specifying that activation requires a schedule ID. While it doesn't provide format details or validation rules, it correctly identifies the single required parameter's purpose, which is adequate given the minimal parameter count.

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 ('Activate') and target resource ('a schedule by its ID'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from its sibling 'deactivate_schedule' or explain what 'activate' means in this context, which prevents a perfect score.

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 like 'deactivate_schedule' or other schedule-related tools. The description doesn't mention prerequisites, consequences, or appropriate contexts for activation, leaving the agent with insufficient usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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. 'Add' implies a mutation operation, but the description doesn't specify permissions required, whether the action is reversible, error conditions, or what happens if the schedule is already in the collection. It lacks details on rate limits, side effects, or response format, leaving significant gaps for a mutation tool.

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, efficient sentence with zero waste. It's front-loaded with the core action and resources, making it easy to parse quickly. Every word contributes directly to understanding 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?

Given the tool's mutation nature, lack of annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't address behavioral aspects like permissions, reversibility, or error handling, nor does it clarify parameter semantics. For a 2-parameter mutation tool with no structured support, this leaves the agent under-informed.

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 0%, so the schema provides no parameter descriptions. The description mentions 'by its ID', implying both parameters are IDs, but doesn't explain what 'collection_id' and 'schedule_id' represent, their formats, or where to obtain them. It adds minimal value beyond what's inferred from the parameter names, failing to compensate for the low schema coverage.

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 ('Add') and target resources ('a schedule to a collection'), specifying it's done 'by its ID'. It distinguishes from sibling tools like 'remove_schedule_from_collection' by indicating the opposite operation. However, it doesn't explicitly differentiate from tools like 'add_workflow_to_collection', which follows a similar pattern but with a different resource type.

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 alternatives. It doesn't mention prerequisites (e.g., existing collection and schedule), exclusions, or compare it to similar tools like 'add_workflow_to_collection'. The agent must infer usage from the tool name and context alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits such as required permissions, whether this is a mutating operation, error conditions, or what happens if the workflow is already in the collection. This leaves significant gaps for a tool that likely modifies data.

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, direct sentence with no wasted words, efficiently conveying the core purpose. It's appropriately sized for a simple tool and front-loaded with essential 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?

Given no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks details on behavior, parameters, return values, and error handling, making it inadequate for a tool that likely performs a mutation in a system with many sibling operations.

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 0%, so the description must compensate but adds no parameter details beyond what's implied by the name. It doesn't explain what 'collection_id' and 'workflow_id' represent, their formats, or where to obtain them, failing to address the coverage 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 clearly states the action ('Add') and target resources ('workflow to a collection'), specifying it's done by ID. It distinguishes from sibling 'remove_workflow_from_collection' by indicating the opposite operation, though it doesn't explicitly differentiate from other collection-related tools like 'add_schedule_to_collection'.

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. It doesn't mention prerequisites (e.g., existing collection/workflow), exclusions, or comparisons to similar tools like 'add_schedule_to_collection', leaving the agent to infer usage from context alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 indicates a mutation action ('Change') but lacks details on permissions required, whether the change is reversible, error conditions (e.g., invalid IDs), or side effects. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that front-loads the core purpose without unnecessary words. Every part of the sentence contributes directly to understanding the tool's function, making it appropriately concise.

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 of a mutation tool with no annotations, 0% schema description coverage, and no output schema, the description is incomplete. It lacks critical information such as behavioral traits, parameter semantics, and expected outcomes, which are essential for safe and effective tool 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 description implies parameters for schedule ID and new owner ID, aligning with the two parameters in the schema. However, with 0% schema description coverage, it does not add meaning beyond naming (e.g., format of IDs, validation rules). The baseline is 3 since the schema covers the parameters structurally, but the description fails to compensate for the lack of semantic details.

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 ('Change the owner') and target resource ('a schedule by its ID'), providing a specific verb+resource combination. However, it does not explicitly distinguish this tool from sibling tools like 'update_schedule_name_or_comment' or 'transfer_all_assets', which might involve ownership changes in different contexts.

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 this tool versus alternatives. It does not mention prerequisites (e.g., permissions needed), exclusions, or comparisons to sibling tools such as 'update_schedule_name_or_comment' or 'transfer_all_assets', leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'Create a new collection' which implies a write/mutation operation, but doesn't disclose any behavioral traits such as permissions required, whether it's idempotent, what happens on duplicate names, or what the response contains. This is inadequate for a mutation tool with zero annotation coverage.

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 concise with just three words, which is appropriately sized for a simple tool. However, it's under-specified rather than efficiently informative—every word earns its place but more content is needed for completeness.

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 mutation (create) with no annotations, 1 parameter at 0% schema coverage, and no output schema, the description is incomplete. It doesn't explain what a collection is, the effects of creation, error conditions, or return values, leaving significant gaps for agent understanding.

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 description adds no parameter information beyond what the input schema provides. With 0% schema description coverage and 1 parameter, the baseline is 4 for zero parameters, but since there is 1 parameter, the description fails to compensate. It doesn't explain the 'name' parameter's purpose, format, or constraints.

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 'Create a new collection' restates the tool name 'create_collection' in a tautological manner. It specifies the verb 'Create' and resource 'collection', but lacks any distinguishing details about what a collection is or how it differs from similar resources like workflows or schedules. No sibling differentiation is provided.

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. Sibling tools like 'get_all_collections' or 'update_collection_name_or_owner' exist, but the description doesn't mention prerequisites, timing, or comparisons. Usage is implied only by the verb 'Create'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('deactivate') but doesn't clarify what deactivation entails (e.g., whether it's reversible, if it affects associated jobs, permission requirements, or side effects). This leaves critical behavioral traits unspecified for a mutation operation.

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, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly without unnecessary elaboration.

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 mutation tool with no annotations, no output schema, and minimal parameter guidance, the description is incomplete. It lacks information on what deactivation means, expected outcomes, error conditions, or how it fits within the broader system context, leaving significant gaps for an agent to use it effectively.

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 description mentions 'by its ID', which aligns with the single 'schedule_id' parameter in the schema. However, with 0% schema description coverage, the description doesn't add meaningful details about parameter format, constraints, or where to obtain the ID. It provides basic mapping but minimal enhancement over the bare 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 clearly states the verb ('deactivate') and resource ('a schedule'), making the purpose unambiguous. It distinguishes from obvious alternatives like 'activate_schedule' by specifying the opposite action, though it doesn't explicitly differentiate from all sibling tools like 'delete_collection' or 'deactivate_user'.

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 alternatives, prerequisites, or contextual constraints. It doesn't mention when deactivation is appropriate compared to deletion or other schedule modifications, leaving usage entirely implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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. 'Deactivate' implies a destructive/mutative action, but it doesn't specify what deactivation entails (e.g., disables login, preserves data, reversible?), permissions required, side effects, or error conditions. This is inadequate for a tool that likely modifies system state.

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, direct sentence with zero wasted words. It's front-loaded with the core action and resource, making it highly efficient. No structural issues exist given its brevity and clarity.

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 destructive tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks critical details: what deactivation does, success/error responses, prerequisites, and implications. This leaves significant gaps for an agent to use the tool safely and effectively.

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 description adds no parameter information beyond the schema, which has 0% description coverage. However, with only one parameter ('user_id'), the baseline is 4, but it's reduced to 3 because the description doesn't clarify what 'user_id' represents (e.g., format, source, uniqueness) or provide any context to compensate for the schema 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 clearly states the verb ('Deactivate') and resource ('a user account'), making the purpose unambiguous. It distinguishes from obvious siblings like 'activate_user' (not listed) but doesn't explicitly differentiate from similar tools like 'update_user_details' or 'reset_user_password' that might also affect user 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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., user must exist, permissions required), exclusions (e.g., cannot deactivate own account), or related tools like 'update_user_details' for partial deactivation. The description alone gives no context for decision-making.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 the tool deletes a collection but doesn't clarify if this is permanent, reversible, requires specific permissions, affects associated schedules/workflows, or has side effects. For a destructive operation, this lack of detail is a significant gap.

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, direct sentence with no wasted words, clearly front-loading the core action. It efficiently communicates the tool's purpose without unnecessary elaboration.

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 destructive tool with no annotations, no output schema, and minimal parameter guidance, the description is insufficient. It doesn't cover critical aspects like confirmation prompts, error conditions, or what happens post-deletion, leaving the agent with incomplete context for safe 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 description mentions 'by its ID', which aligns with the single parameter 'collection_id' in the schema. However, with 0% schema description coverage, the description doesn't add details like ID format or validation rules. It compensates minimally, meeting the baseline for a single 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 clearly states the action ('Delete') and target resource ('a collection by its ID'), which distinguishes it from sibling tools like 'get_collection_by_id' or 'update_collection_name_or_owner'. However, it doesn't specify what happens to the collection's contents or associated resources, which would make it more specific.

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 like 'deactivate_schedule' or 'remove_schedule_from_collection', nor does it mention prerequisites such as needing the collection to be empty or having proper permissions. The description only states what it does, not when it's appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits such as file format, permissions needed, whether it overwrites existing files, error handling, or rate limits. This leaves significant gaps for a tool that performs file operations.

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, efficient sentence that front-loads the core action. Every word contributes to understanding the tool's purpose without redundancy, making it appropriately sized and well-structured.

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, 0% schema description coverage, and no output schema, the description is incomplete. It lacks details on file behavior, error cases, or return values, which are crucial for a download operation. The tool's complexity warrants more context than provided.

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 0%, so the description must compensate. It mentions 'workflow_id' and 'output_directory', aligning with the two parameters, but adds minimal semantics beyond naming them. No details on parameter formats, constraints, or examples are provided, resulting in adequate but incomplete coverage.

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 ('Download') and resource ('workflow package file'), specifying it's done 'by its ID' and saved 'to the local directory'. However, it doesn't distinguish from sibling tools like 'get_workflow_xml' or 'get_workflow_by_id', which might retrieve workflow data without downloading files.

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 explicit guidance on when to use this tool versus alternatives is provided. The description implies usage for downloading files, but it doesn't mention prerequisites, when not to use it, or compare with siblings like 'get_workflow_xml' that might serve similar purposes.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden. It mentions monitoring and returning jobID/status/details, but doesn't disclose critical behavioral traits: whether this is synchronous/asynchronous, timeout behavior, authentication requirements, rate limits, error handling, or what 'monitoring' entails operationally.

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 some useful information, but contains a typo ('he Job status') and could be more efficiently structured. The second sentence about input_data could be integrated better with the first sentence about execution.

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 execution tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'monitoring' means operationally, doesn't describe the return format beyond mentioning jobID/status/details, and doesn't address error conditions or prerequisites.

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 0%, so the description must compensate. It explains that input_data is 'a list of name-value pairs, each containing a name and value', which adds meaningful context beyond the bare schema. However, it doesn't explain workflow_id format or provide examples of valid input_data.

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 tool executes a workflow by ID and monitors its execution status, providing specific verb+resource. However, it doesn't differentiate from sibling 'start_workflow_execution' - both appear to execute workflows, so the distinction isn't explained.

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 on when to use this tool versus alternatives like 'start_workflow_execution' or 'get_workflow_jobs'. The description mentions monitoring but doesn't explain when monitoring is needed versus simple execution or status checking.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits such as whether this is a read-only operation, if it requires authentication, how results are returned (e.g., pagination), or potential rate limits. This is inadequate for a tool with zero annotation coverage.

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, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly.

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 and no output schema, the description is insufficient. It doesn't explain what the output looks like (e.g., list format, fields included), error conditions, or server-specific behaviors. Given the complexity implied by sibling tools, more context is needed for effective 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 has 0 parameters with 100% schema description coverage, so the schema fully documents the absence of inputs. The description appropriately doesn't add parameter details, maintaining focus on the tool's purpose without redundancy.

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 verb ('Get') and resource ('list of all collections'), making the purpose understandable. However, it doesn't distinguish this tool from similar sibling tools like 'get_collection_by_id' or 'get_all_workflows' beyond specifying the resource type.

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 alternatives like 'get_collection_by_id' for specific collections or other 'get_all_' tools for different resources. It lacks context about prerequisites, timing, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions 'accessible credentials' but does not disclose behavioral traits like authentication requirements, rate limits, pagination, or return format. For a read operation with zero annotation coverage, this is a significant gap in 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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and appropriately sized, making it easy for an agent to parse quickly.

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 has no parameters and no output schema, the description is minimal. It lacks details on what 'accessible' means, the return structure, or any behavioral context, making it incomplete for effective use by an AI agent despite the low 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 tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description does not add param info, which is appropriate, earning a baseline score of 4 for this dimension as it doesn't need to compensate for any gaps.

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 ('Get the list') and resource ('all accessible credentials of the Alteryx server'), making the purpose understandable. It distinguishes from siblings like 'get_credential_by_id' by specifying 'all' versus retrieving a single credential by ID, though it could be more explicit about the distinction.

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 alternatives, such as 'get_credential_by_id' for specific credentials or other 'get_all_' tools for different resources. It lacks context on prerequisites, permissions, or typical use cases, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 offers minimal information. It implies a read operation ('Get') but doesn't cover aspects like pagination, rate limits, authentication requirements, error conditions, or the format/structure of returned messages. This leaves significant gaps for an agent to understand how to handle the tool effectively.

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, straightforward sentence that efficiently conveys the core action without unnecessary words. It's front-loaded with the key information, making it easy to parse quickly.

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's complexity (a read operation with 1 parameter) and the absence of annotations and output schema, the description is incomplete. It doesn't provide enough context about the tool's behavior, parameter usage, or expected outputs, which could hinder an agent's ability to use it correctly without additional trial or error.

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 1 parameter with 0% description coverage, and the tool description doesn't add any semantic details about the 'job_id' parameter. It doesn't explain what constitutes a valid job ID, where to obtain it, or any constraints, failing to compensate for the schema's lack of 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 clearly states the verb ('Get') and resource ('all the messages for a job'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_job_by_id' or 'get_job_output_data', which might also retrieve job-related data, so it doesn't achieve full sibling distinction.

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 alternatives. For example, it doesn't specify if this is for retrieving message logs, status updates, or other types of messages, nor does it mention prerequisites like needing a valid job ID from another operation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 it 'gets' a list, implying a read operation, but doesn't specify whether it's paginated, sorted, filtered, or includes metadata. For a list-retrieval tool with zero annotation coverage, this leaves significant behavioral gaps.

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, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's appropriately sized for a simple tool and front-loads the key information effectively.

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's simplicity (0 parameters, no output schema, no annotations), the description is adequate but minimal. It covers the basic purpose but lacks details on behavior, output format, or usage context, which could be helpful for an AI agent despite the low 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 tool has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to compensate for any gaps, and it appropriately avoids unnecessary parameter details, aligning with the baseline for zero 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 clearly states the action ('Get') and resource ('list of all schedules of the Alteryx server'), making the purpose understandable. However, it doesn't explicitly distinguish this from sibling tools like 'get_schedule_by_id' or 'get_all_collections', which would require more specific differentiation to earn a 5.

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 alternatives like 'get_schedule_by_id' for specific schedules or 'get_all_collections' for other resources. It lacks context about use cases, prerequisites, or exclusions, offering minimal usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 states 'Get all the assets' but does not clarify if this is a read-only operation, what permissions are required, whether it returns paginated results, or the format of the output (e.g., list of asset objects). This leaves significant gaps in understanding the tool's behavior and limitations.

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, straightforward sentence with no unnecessary words, making it highly concise and front-loaded. It efficiently communicates the core purpose without redundancy or structural issues.

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's complexity (a read operation with 1 parameter), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It fails to address key aspects like output format, error conditions, or behavioral traits, leaving the agent with inadequate information for reliable 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 1 parameter (user_id) with 0% description coverage, meaning the schema provides no semantic details. The description adds minimal value by implying the parameter is for a user, but it does not specify the user_id format (e.g., UUID, email), constraints, or examples. This insufficiently compensates for the low schema coverage.

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 'Get all the assets for a user' clearly states the action (get) and resource (assets for a user), making the purpose understandable. However, it lacks specificity about what 'assets' entail (e.g., workflows, schedules, collections) and does not distinguish this tool from sibling tools like 'get_user_assets_by_type' or 'transfer_all_assets', leaving ambiguity in scope.

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 alternatives. It does not mention prerequisites (e.g., user existence), exclusions, or compare it to siblings such as 'get_user_assets_by_type' (which filters by asset type) or 'get_all_collections' (which might overlap). Without such context, usage is implied but not explicitly defined.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 states the action but lacks details on permissions required, rate limits, pagination, or return format. For a read operation with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly.

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 has 0 parameters and no output schema, the description is minimally complete for a simple retrieval tool. However, without annotations, it lacks details on behavioral aspects like authentication needs or response structure, which could be important for an agent to use it effectively in 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 schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it correctly avoids mentioning any. A baseline of 4 is appropriate as it doesn't mislead or omit necessary information about 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 clearly states the verb ('Get') and resource ('list of all users of the Alteryx server'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_user_by_email' or 'get_user_by_id', which are more targeted user retrieval methods.

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 alternatives. It doesn't mention that this retrieves all users without filtering, unlike sibling tools that fetch users by specific criteria (e.g., email, ID, name), leaving the agent to infer usage from context alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 states the tool retrieves a list but does not specify details like pagination, rate limits, authentication needs, or what 'all workflows' entails (e.g., active vs. archived). For a read operation with zero annotation coverage, this is a significant gap in 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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the core action and resource, making it easy to parse quickly, with zero wasted 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?

Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is minimally adequate but incomplete. It covers the basic purpose but lacks behavioral details (e.g., return format, scope of 'all') that would help an agent use it effectively, especially without annotations or output schema to fill 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?

The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description does not need to add parameter semantics, as there are none to document. A baseline of 4 is appropriate since no parameters exist, and the description does not mislead about 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 clearly states the action ('Get') and resource ('list of all workflows of the Alteryx server'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'get_workflow_by_id' or 'get_workflow_jobs', which target specific workflows or related data, so it lacks sibling differentiation for a perfect score.

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 alternatives, such as 'get_workflow_by_id' for a single workflow or 'get_all_user_assets' for broader asset retrieval. It implies usage for listing all workflows but offers no explicit context, exclusions, or alternatives, leaving the agent to infer based on tool names alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 the action ('Get') but does not reveal any behavioral traits such as whether it's a read-only operation, error handling for invalid IDs, authentication requirements, rate limits, or response format. This leaves significant gaps for an agent to understand how the tool behaves beyond its basic purpose.

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, direct sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core action without unnecessary elaboration, which is appropriate for a simple retrieval 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's simplicity (1 parameter, no output schema, no annotations), the description is incomplete. It lacks details on behavioral aspects, parameter semantics, and usage context, which are crucial for an agent to invoke it correctly. While concise, it does not provide enough information to fully understand the tool's operation in the broader system with many sibling 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 input schema has 1 parameter with 0% description coverage, so the schema provides no semantic details. The description adds minimal value by implying that 'collection_id' is used to identify the collection, but it does not explain the ID format, constraints, or examples. This meets the baseline of 3 as it compensates slightly for the low schema coverage, but more detail would improve clarity.

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 'Get a collection by its ID' clearly states the verb ('Get') and resource ('collection'), making the purpose understandable. However, it lacks specificity about what 'Get' entails (e.g., retrieve metadata, full details) and does not differentiate from sibling tools like 'get_all_collections' or 'get_workflow_by_id', which follow similar patterns for other resources.

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. It does not mention prerequisites (e.g., needing a valid collection ID), exclusions, or comparisons to siblings like 'get_all_collections' for listing or other 'get_*_by_id' tools for different resources. The description assumes context without explicit instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the basic action without mentioning whether this is a read-only operation, what permissions are required, error handling, rate limits, or what the return format looks like. For a tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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 concise with just one sentence that directly states the tool's purpose. There's no wasted language or unnecessary elaboration, making it efficiently front-loaded with the core 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 0% schema description coverage, the description is inadequate. It doesn't explain what a 'connection' is in this system, what data is returned, error conditions, or how this differs from similar tools. The minimal description leaves too many contextual gaps for effective 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 schema has 0% description coverage for the single parameter 'connection_id', and the tool description provides no additional semantic information about what a connection ID is, its format, where to find it, or valid values. The description doesn't compensate for the complete lack of parameter documentation 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 'Get a connection by its ID' clearly states the verb ('Get') and resource ('connection'), but it's vague about what a 'connection' represents in this context and doesn't differentiate from the sibling tool 'lookup_connection'. It provides basic purpose but lacks specificity about the domain or resource type.

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 like 'lookup_connection' or other 'get_by_id' siblings. The description offers no context about prerequisites, when this tool is appropriate, or what distinguishes it from similar tools in the server.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'Get the details' which implies a read operation, but doesn't disclose behavioral traits such as authentication requirements, rate limits, error handling, or what 'details' include. For a tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves beyond basic purpose.

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, efficient sentence that front-loads the core action without unnecessary words. It's appropriately sized for a simple retrieval tool, with zero waste or redundancy, making it easy to parse quickly.

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's simplicity (1 parameter, no output schema), the description is incomplete. It lacks details on what 'details' include, error cases, or behavioral context, which are crucial for effective use. Without annotations or output schema, the description should provide more context to compensate, but it does not.

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 0%, with one parameter 'credential_id' undocumented in the schema. The description adds no meaning beyond what the schema provides—it doesn't explain what a credential ID is, its format, or where to find it. With low coverage and no compensatory details, the description fails to clarify parameter semantics adequately.

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 verb 'Get' and the resource 'details of an existing credential', making the purpose understandable. It distinguishes from siblings like 'get_all_credentials' by specifying retrieval by ID, though it doesn't explicitly name alternatives. The purpose is specific enough for basic understanding but lacks explicit sibling differentiation.

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 alternatives like 'get_all_credentials' or other 'get_by_id' siblings. It mentions 'existing credential' but doesn't specify prerequisites or exclusions, leaving usage context implied rather than explicit. No alternatives or when-not scenarios are addressed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 mentions retrieving details and state, implying a read-only operation, but doesn't disclose behavioral traits such as authentication needs, rate limits, error handling, or what specific details are included in the response. This leaves significant gaps for a tool with no annotation coverage.

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, efficient sentence that front-loads the core purpose without unnecessary words. It's appropriately sized for a simple retrieval tool, making it easy to parse quickly.

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 low schema coverage, the description is incomplete. It doesn't explain what details are retrieved, the response format, or any behavioral context, which is inadequate for a tool that likely returns complex job state 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 input schema has 1 parameter with 0% description coverage, and the tool description doesn't add any parameter-specific information beyond implying 'job_id' is needed. Since schema coverage is low, the description fails to compensate by explaining the parameter's format or constraints, but with only one parameter, the baseline is moderate.

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 verb 'retrieve' and the resource 'details about an existing job and its current state', making the purpose specific. However, it doesn't explicitly distinguish this tool from sibling tools like 'get_workflow_jobs' or 'get_job_output_data', which might also retrieve job-related information, so it misses full differentiation.

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 alternatives. With siblings like 'get_workflow_jobs' (likely for listing jobs) and 'get_job_output_data' (likely for output details), there's no indication of context, prerequisites, or exclusions for this specific retrieval tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions the output is stored in a temp directory, hinting at ephemeral storage, but fails to disclose critical behaviors like authentication needs, rate limits, error conditions, or whether the job must be in a specific state (e.g., finished). This leaves significant gaps for safe invocation.

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 core purpose and followed by storage details. It avoids redundancy, but the second sentence could be more integrated or omitted if not critical, slightly reducing efficiency.

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 low schema coverage, the description is incomplete. It lacks details on return format (e.g., structure of file paths list), error handling, and operational constraints, making it inadequate for a tool that retrieves job outputs without further 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 0%, with one parameter ('job_id') undocumented in the schema. The description adds no specific meaning about the parameter (e.g., format, source, validation). Since coverage is low, the description doesn't compensate, but with only one parameter, the baseline is adjusted to 3 as the gap is minimal but not addressed.

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 verb ('Get') and resource ('output data generated by a job'), specifying it returns file paths. However, it doesn't explicitly differentiate from sibling tools like 'get_job_by_id' or 'get_workflow_jobs', which focus on job metadata rather than output data, leaving some ambiguity about uniqueness.

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. It doesn't mention prerequisites (e.g., job must be completed), exclusions, or compare to siblings like 'get_all_job_messages' or 'get_job_by_id', leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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. 'Get' implies a read operation, but it doesn't specify if it's safe (non-destructive), requires authentication, has rate limits, or what the output includes (e.g., schedule details, status). The description lacks critical behavioral traits beyond the basic action.

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, direct sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core purpose without unnecessary elaboration.

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's simplicity (1 parameter, no annotations, no output schema), the description is incomplete. It doesn't cover what 'get' returns (e.g., schedule object, error handling), behavioral aspects like safety or permissions, or usage context relative to siblings. For a basic retrieval tool, more context is needed to be fully helpful.

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 0% schema description coverage and 1 parameter, the description adds value by implying the parameter's purpose ('by its ID'), but it doesn't explain the ID format (e.g., string type, expected pattern) or provide examples. Since there's only one parameter, the baseline is high, but more detail would improve clarity.

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 'Get a schedule by its ID' clearly states the action (get) and resource (schedule), but it's vague about what 'get' entails (e.g., retrieve details, fetch metadata) and doesn't differentiate from siblings like 'get_all_schedules' or 'get_schedule_by_id' (implied by name only). It avoids tautology by not just restating the name, but lacks specificity.

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. For example, it doesn't specify if this is for retrieving a single schedule's details after listing schedules with 'get_all_schedules', or if it's preferred over other get-by-ID tools for schedules. The description offers no context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 offers none. It does not indicate if this is a read-only operation, what permissions are required, how results are returned, or any rate limits, leaving critical behavioral traits unspecified.

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 concise with a single sentence, but it is under-specified rather than efficiently informative. It front-loads the basic purpose but lacks necessary detail, making it inadequate 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?

Given no annotations, 0% schema coverage, no output schema, and a tool with 2 required parameters, the description is severely incomplete. It fails to provide essential context such as parameter meanings, return values, or behavioral traits, making it inadequate for effective tool 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?

Schema description coverage is 0%, and the description adds no meaning beyond the schema. It does not explain what 'user_id' or 'asset_type' represent, their formats, or valid values, failing to compensate for the lack of schema 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 'Get user assets by type' restates the tool name with minimal elaboration, making it a tautology. It specifies the verb 'Get' and resource 'user assets by type', but lacks detail on what 'assets' are or how 'by type' functions, failing to differentiate from sibling tools like 'get_all_user_assets' or 'get_user_by_id'.

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 does not mention prerequisites, context, or exclusions, leaving the agent with no information to choose between this and similar tools like 'get_all_user_assets' or 'get_user_by_id'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 only states the action ('Get a user') without mentioning permissions required, error handling (e.g., if email not found), rate limits, or what data is returned. This is inadequate for a tool with potential access control or data sensitivity implications.

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, direct sentence with zero wasted words. It is front-loaded with the core action and efficiently communicates the purpose without unnecessary elaboration, making it easy for an agent to parse quickly.

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 lack of annotations and output schema, the description is incomplete. It doesn't explain what user data is returned (e.g., fields like ID, name, status), error conditions, or authentication needs. For a user lookup tool in a system with multiple user-related tools, more context is needed to ensure proper agent usage.

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 description adds meaningful context for the single parameter by specifying that 'email' is used to identify the user, which is valuable given 0% schema description coverage. However, it doesn't detail email format requirements or validation rules, leaving some ambiguity. With only one parameter, the baseline is high, but minor gaps prevent a perfect 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 clearly states the verb ('Get') and resource ('a user'), specifying the lookup method ('by their email'). It distinguishes from siblings like get_user_by_id, get_user_by_name, and get_user_by_first_name by indicating the identifier type. However, it doesn't explicitly mention what user information is retrieved, which prevents a perfect score.

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 like get_user_by_id or get_user_by_name. The description simply states what it does without context about prerequisites, limitations, or comparison to sibling tools, leaving the agent to infer usage scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 only states the action without disclosing behavioral traits such as read-only vs. mutative nature, permissions required, rate limits, or what happens if multiple users share the same first name. This leaves critical operational details unspecified.

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, efficient sentence with zero wasted words, front-loading the core purpose. It is appropriately sized for a simple lookup 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 lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects like safety, return values, or error handling, which are essential for a tool that interacts with user data. The simplicity of the tool mitigates this slightly, but gaps remain.

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 0%, with one parameter (first_name) documented only by title and type in the schema. The description adds minimal semantics by confirming the parameter's purpose but lacks details on format, constraints, or case sensitivity, failing to compensate for the low coverage.

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 verb ('Get') and resource ('user'), specifying the lookup method ('by their first name'). It distinguishes from siblings like get_user_by_email and get_user_by_id by indicating the specific identifier used, though it doesn't explicitly contrast them.

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 like get_user_by_email or get_user_by_id. The description implies usage for first-name-based lookups but offers no context about uniqueness, duplicates, or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states the tool retrieves user data but doesn't disclose behavioral traits like required permissions, rate limits, error handling, or what data is returned. This leaves significant gaps for a read operation with no output schema.

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, efficient sentence with no wasted words. It front-loads the core purpose ('Get a user') and specifies the method ('by their ID'), making it easy to understand quickly.

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 low schema coverage, the description is incomplete. It lacks details on return values, error cases, or behavioral context, making it inadequate for full agent understanding despite its conciseness.

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 description mentions 'by their ID', which aligns with the single parameter 'user_id' in the schema. However, with 0% schema description coverage, it doesn't add details like ID format or constraints. The baseline is 3 since the schema covers the parameter structure, but the description provides minimal extra 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 clearly states the action ('Get') and target resource ('a user'), specifying the lookup method ('by their ID'). It distinguishes from siblings like get_user_by_email or get_user_by_name by explicitly mentioning the ID parameter, though it doesn't explicitly contrast them.

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 like get_user_by_email or get_user_by_name. The description lacks context about prerequisites, such as needing a user ID, or any exclusions or complementary tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 the tool's function but lacks critical details: it doesn't specify if this is a read-only operation, what happens if no user is found (e.g., returns null, error), whether it's case-sensitive, or if it supports partial matches. For a lookup tool with zero annotation coverage, this leaves significant gaps in understanding its 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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the core action and resource, making it easy to parse. Every part of the sentence earns its place by specifying the lookup criterion.

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's moderate complexity (a user lookup by attribute), lack of annotations, no output schema, and low schema description coverage, the description is insufficient. It doesn't explain return values (e.g., user object, error handling), behavioral traits like idempotency or side effects, or how it integrates with sibling tools. This leaves the agent with incomplete context for reliable 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 1 parameter with 0% description coverage, so the description must compensate. It adds meaning by specifying that the 'name' parameter refers to the user's last name, which clarifies beyond the generic schema title 'Name'. However, it doesn't provide details on format (e.g., full last name, partial), constraints, or examples, leaving the parameter semantics incomplete.

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 ('Get') and resource ('a user'), specifying the lookup method ('by their last name'). It distinguishes from sibling tools like get_user_by_email and get_user_by_first_name by indicating the specific attribute used for retrieval. However, it doesn't explicitly mention what 'user' refers to in this context (e.g., system user, customer), leaving some ambiguity.

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 explicit guidance is provided on when to use this tool versus alternatives like get_user_by_email, get_user_by_first_name, or get_user_by_id. The description implies usage when only the last name is known, but it doesn't address scenarios like multiple users sharing the same last name or case sensitivity. No prerequisites 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.

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 only states the action ('Get') without details on permissions, error handling, rate limits, or response format. This is inadequate for a tool with no annotation coverage, leaving key behavioral traits unspecified.

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, efficient sentence with no wasted words. It's front-loaded and appropriately sized for a simple tool, making it easy to parse quickly.

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 0% schema description coverage, the description is incomplete. It doesn't cover what the tool returns, error conditions, or usage context, which are essential for effective tool invocation in this environment.

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 description adds no meaning beyond the input schema, which has 0% description coverage. With 1 parameter ('workflow_id') undocumented in the schema, the description doesn't compensate by explaining what a workflow ID is or its format. Baseline is 3 due to the single parameter, but no additional value is provided.

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 'Get a workflow by its ID' clearly states the verb ('Get') and resource ('workflow'), but it's vague about what 'Get' entails (e.g., retrieve metadata, fetch details). It doesn't differentiate from siblings like 'get_all_workflows' or 'get_workflow_xml', which target workflows differently.

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. For example, it doesn't specify if this is for retrieving basic workflow info compared to 'get_workflow_xml' for XML data or 'get_all_workflows' for listing workflows. The description lacks context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It mentions retrieving jobs but doesn't disclose behavioral traits like whether it returns all jobs at once or paginates, what format the output is in, or if there are permissions or rate limits. This is a significant gap for a tool with no annotation coverage.

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, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action, making it easy to parse quickly.

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 of a retrieval tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It doesn't address output format, pagination, error handling, or how it fits into the broader context of job management, leaving the agent with insufficient information for reliable 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?

Schema description coverage is 0%, so the description must compensate. It implies the 'workflow_id' parameter is needed to specify which workflow's jobs to retrieve, adding some meaning beyond the bare schema. However, it doesn't explain the parameter's format, constraints, or how to obtain it, leaving gaps in 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 clearly states the verb 'Get' and the resource 'all jobs associated with a workflow', making the purpose understandable. It distinguishes from siblings like 'get_job_by_id' by focusing on workflow-level retrieval, though it doesn't explicitly mention how it differs from other job-related tools like 'get_all_job_messages'.

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. For example, it doesn't specify if this should be used instead of 'get_job_by_id' for batch retrieval or how it relates to 'get_all_job_messages'. The description only states what it does, not when it's appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 mentions 'Get the list' which implies a read-only operation, but doesn't disclose behavioral traits such as permissions required, rate limits, pagination, error handling, or what format the list is returned in (e.g., JSON array, plain text). This leaves significant gaps for an agent to understand how to interact with the tool effectively.

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, clear sentence that front-loads the key action and resource. It wastes no words and is appropriately sized for a simple tool, making it easy for an agent to parse quickly.

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 (a read operation with one parameter), lack of annotations, and no output schema, the description is incomplete. It doesn't cover what the output looks like (e.g., list structure, tool details), error cases, or any prerequisites. This makes it inadequate for an agent to fully understand the tool's behavior and integration needs.

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 description adds minimal semantics beyond the input schema. It specifies that the parameter 'workflow_id' is used to identify the workflow, which is implied by the schema's property name. With 0% schema description coverage, the description doesn't compensate by explaining the format or constraints of 'workflow_id' (e.g., UUID, string pattern). However, since there's only one parameter, the baseline is higher, but it lacks enrichment.

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 verb ('Get') and resource ('list of tools in a workflow'), making the purpose understandable. It distinguishes from siblings like 'get_workflow_by_id' or 'get_workflow_jobs' by specifying tools rather than workflow details or jobs. However, it lacks specificity about what 'tools' means in this context (e.g., tool names, IDs, configurations).

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. For example, it doesn't mention if this is for auditing, debugging, or integration purposes, or how it differs from 'get_workflow_by_id' which might include tool information. The description only states what it does, not when or why to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 states the tool retrieves XML, but does not mention whether this is a read-only operation, requires specific permissions, involves rate limits, or what the output format entails (e.g., raw XML string). This leaves significant gaps for a tool with no annotation coverage.

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, clear sentence that efficiently conveys the core function without unnecessary words. It is front-loaded and appropriately sized for the tool's simplicity.

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 low schema coverage, the description is incomplete. It does not address behavioral aspects like safety or output details, and while concise, it fails to provide enough context for reliable tool invocation in a complex environment with many sibling 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 input schema has 0% description coverage, but the description adds minimal value by implying the parameter 'workflow_id' is used to fetch the XML. However, it does not explain what a workflow ID is, its format, or where to find it, which is insufficient to fully compensate for the lack of schema 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 clearly states the action ('Get') and resource ('XML representation of a workflow file'), making the purpose understandable. However, it does not explicitly differentiate from sibling tools like 'get_workflow_by_id' or 'download_workflow_package_file', which might also retrieve workflow-related data, so it lacks sibling distinction for a perfect score.

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 alternatives, such as 'get_workflow_by_id' (which might return different data) or 'download_workflow_package_file' (which might involve files). There is no mention of prerequisites, context, or exclusions, leaving usage unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 states 'Lookup', implying a read operation, but does not address permissions, rate limits, error handling, or what the output entails (e.g., connection details). This leaves significant gaps for a tool with no annotation coverage.

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, efficient sentence with no wasted words, making it appropriately sized and front-loaded. It directly states the tool's purpose without unnecessary elaboration, earning full marks for 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 no annotations, no output schema, and low parameter coverage, the description is incomplete. It lacks details on behavioral traits, parameter usage, and return values, making it inadequate for a tool that likely retrieves specific data, especially compared to sibling tools with similar functions.

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 1 parameter with 0% description coverage, and the tool description does not explain the 'connection_id' parameter's meaning, format, or source (e.g., from workflows). With low schema coverage, the description fails to compensate by adding semantic details beyond the basic mention of 'DCM Connection'.

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 the tool 'Lookup a DCM Connection as referenced in workflows', which specifies the verb 'Lookup' and resource 'DCM Connection', providing a clear basic purpose. However, it lacks differentiation from sibling tools like 'get_connection_by_id', making the scope vague regarding how it differs from other retrieval 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?

The description offers no guidance on when to use this tool versus alternatives such as 'get_connection_by_id' or other sibling tools. It mentions 'as referenced in workflows', which implies a context but does not specify prerequisites, exclusions, or explicit alternatives, leaving usage unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states a destructive action ('Remove'), implying mutation, but doesn't disclose behavioral traits such as permissions required, whether the removal is reversible, effects on related assets, or error conditions. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that front-loads the core action. Every word contributes to the purpose without waste, making it appropriately sized for the tool's complexity.

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 a mutation tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks behavioral context, parameter details, and usage guidelines, making it insufficient for safe and effective agent invocation despite its conciseness.

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 0%, so the description must compensate. It mentions parameters 'by its ID' (implying collection_id and schedule_id), but adds no meaning beyond the schema's property names. No details on ID formats, sources, or constraints are provided, failing to address the coverage 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 clearly states the action ('Remove') and target resources ('a schedule from a collection'), specifying it's done 'by its ID'. It distinguishes from sibling 'add_schedule_to_collection' by indicating the opposite operation, though it doesn't explicitly mention other siblings like 'remove_workflow_from_collection' for full differentiation.

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. It doesn't mention prerequisites (e.g., schedule must be active or in the collection), exclusions, or compare with other tools like 'deactivate_schedule' or 'delete_collection', leaving usage context unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but only states the action without disclosing behavioral traits like whether removal is permanent or reversible, permission requirements, or effects on related entities (e.g., schedules). It lacks details on error conditions or response format, leaving significant gaps for a mutation tool.

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, efficient sentence with zero wasted words, front-loading the core action. It meets the ideal of conciseness without under-specification for this simple 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 mutation tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks details on behavior, parameters, error handling, and return values, leaving the agent with insufficient context to use the tool effectively beyond its basic purpose.

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 0%, so the description must compensate but only vaguely references parameters ('by its ID'). It doesn't explain what 'collection_id' and 'workflow_id' represent, their formats, or sourcing. This adds minimal value beyond the schema's property names, resulting in a baseline score due to inadequate compensation.

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 ('Remove') and target ('a workflow from a collection'), with the specific identifier 'by its ID' providing additional precision. It distinguishes from sibling 'add_workflow_to_collection' by being the inverse operation, though it doesn't explicitly name that sibling.

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 like 'delete_collection' or 'update_collection_name_or_owner', nor does it mention prerequisites such as needing existing workflow and collection IDs. The description implies usage only through its action but offers no contextual boundaries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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. While 'reset' implies a mutation, it doesn't specify whether this requires admin privileges, if the user gets logged out, whether email notifications are sent, or what happens on failure. This leaves significant behavioral gaps for a security-sensitive operation.

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, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a tool with one parameter and no complex behavioral nuances to explain.

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 password reset tool with no annotations, no output schema, and 0% parameter documentation, the description is inadequate. It doesn't cover security implications, error conditions, return values, or parameter details that would be essential for safe and correct usage.

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% description coverage for its single parameter 'user_id', and the description provides no additional parameter information. It doesn't clarify what format the user_id should be (UUID, username, email?), where to find it, or if there are validation rules. This leaves the parameter meaning ambiguous.

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 ('reset') and target resource ('user's password'), providing a specific verb+resource combination. However, it doesn't differentiate from potential sibling tools like 'update_user_details' or 'deactivate_user' that might also affect user accounts, so it falls short of a perfect score.

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 alternatives like 'update_user_details' or 'deactivate_user', nor does it mention prerequisites such as administrative permissions. It simply states what the tool does without contextual usage information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses that execution creates a job and adds it to a queue, which implies mutation and asynchronous behavior. However, it lacks details on permissions, rate limits, error handling, or what 'start' entails operationally (e.g., immediate vs. scheduled).

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 front-loaded with the core action but includes redundant phrasing ('This call will return...' repeats earlier info). Sentences are mostly efficient, but some repetition reduces conciseness without adding 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 mutation tool with no annotations and no output schema, the description is incomplete. It covers basic purpose and parameter hints but lacks behavioral details (e.g., side effects, response format beyond job ID), usage context, and error handling, which are critical for an agent to 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?

Schema description coverage is 0%, so the description must compensate. It explains 'input_data' as 'a list of name-value pairs', adding meaning beyond the schema's structural definition. However, it doesn't clarify the purpose or format of 'workflow_id' or provide examples, leaving gaps for the two 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 clearly states the action ('Start a workflow execution by its ID') and the resource ('workflow'), with a specific outcome ('return the job ID'). It distinguishes from sibling tools like 'execute_workflow_with_monitoring' by focusing on initiation rather than monitoring, though the distinction could be more explicit.

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 like 'execute_workflow_with_monitoring'. The description mentions queuing and job ID retrieval, but lacks explicit context, prerequisites, or exclusions for usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only states the action without behavioral details. It doesn't disclose if this is destructive (irreversible transfer), requires admin rights, has rate limits, or what happens to asset ownership history. The description implies a mutation but lacks critical safety and operational 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 a single, efficient sentence that front-loads the core action. There is no wasted wording, and it directly conveys the tool's purpose without redundancy or fluff.

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 mutation tool with no annotations, 0% schema coverage, and no output schema, the description is inadequate. It omits behavioral traits (e.g., permissions, reversibility), parameter semantics, and expected outcomes, leaving significant gaps for safe and correct usage.

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 0%, so the description must compensate but adds no parameter details beyond what's inferred from the tool name. It doesn't explain 'user_id' (source) or 'new_owner_id' (target) formats, validation rules, or side effects. Baseline is 3 due to low coverage, but minimal value added.

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 ('transfer') and resource ('all assets'), specifying it moves assets from one user to another. It distinguishes from siblings like 'transfer_workflow' (single workflow) and 'get_user_assets_by_type' (read-only), but doesn't explicitly mention what 'assets' include (e.g., workflows, schedules, collections).

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 on when to use this tool versus alternatives like 'transfer_workflow' (for individual assets) or 'change_schedule_owner' (for specific asset types). It lacks context on prerequisites (e.g., user permissions, asset states) or exclusions (e.g., cannot transfer if assets are in use).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool performs a transfer (implying mutation), but doesn't mention critical details like required permissions, whether the transfer is reversible, effects on existing workflow access, or error conditions. This leaves significant gaps for a mutation tool.

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, efficient sentence that directly states the tool's purpose with zero wasted words. It's appropriately sized and front-loaded with the essential 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 mutation tool with no annotations, 0% schema description coverage, and no output schema, the description is inadequate. It lacks details on behavior, error handling, permissions, and doesn't compensate for the missing structured information, leaving the agent with insufficient context to use the tool safely and effectively.

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 0%, so the schema provides no parameter documentation. The description mentions 'workflow ownership' and 'new user', which loosely maps to the two parameters (workflow_id and new_owner_id), but doesn't explain format, validation, or semantics beyond basic inference. It adds minimal value over the bare 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 clearly states the action ('transfer') and resource ('workflow ownership') with the target ('to a new user'). It distinguishes from siblings like 'change_schedule_owner' by specifying workflow context, but doesn't explicitly contrast with 'transfer_all_assets' which might handle broader transfers.

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 like 'change_schedule_owner' or 'transfer_all_assets'. The description implies it's for transferring workflow ownership specifically, but lacks explicit context about prerequisites, permissions, or scenarios where it's appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 the tool updates name or owner, implying a mutation, but fails to mention critical details like permission requirements, whether changes are reversible, error handling, or response format. This is inadequate for a mutation tool with zero annotation coverage.

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, efficient sentence that front-loads the core action without unnecessary words. It directly communicates the tool's purpose, making it easy to parse quickly, though it lacks depth due to 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 mutation tool with 3 required parameters, 0% schema coverage, no annotations, and no output schema, the description is insufficient. It doesn't cover parameter meanings, behavioral traits, or usage context, leaving significant gaps that could hinder correct tool invocation by an AI 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?

Schema description coverage is 0%, meaning parameters are undocumented in the schema. The description adds no semantic information about the parameters—it doesn't explain what 'collection_id', 'name', or 'owner_id' represent, their formats, constraints, or how they interact. This fails to compensate for the coverage 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 clearly states the action ('Update') and the target ('collection name or owner by its ID'), distinguishing it from siblings like 'update_schedule_name_or_comment' or 'update_user_details' by specifying the resource type. However, it doesn't explicitly differentiate from 'change_schedule_owner' or 'update_user_details' in terms of scope or constraints, keeping it from a perfect score.

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 alternatives like 'change_schedule_owner' for owner changes or 'update_user_details' for user-related updates. It lacks context on prerequisites, such as needing the collection ID, or exclusions, leaving the agent to infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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 states this is an update operation, implying mutation, but doesn't disclose behavioral traits such as required permissions, whether changes are reversible, rate limits, or what happens if only one field is provided (since both name and comment are required in schema). This leaves significant gaps for a mutation tool.

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, efficient sentence that front-loads the core purpose without unnecessary words. It's appropriately sized for a simple update tool, with zero waste or redundancy.

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's mutation nature, 3 parameters with 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks crucial context such as error handling, response format, or behavioral details, making it inadequate for safe and effective use by an AI 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?

Schema description coverage is 0%, so the description must compensate. It mentions 'by its ID' which hints at the schedule_id parameter, but doesn't explain the name or comment parameters beyond their titles. No details on format, constraints, or interactions (e.g., if both must be updated simultaneously) are provided, failing to add meaningful semantics beyond the bare 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 clearly states the action ('Update') and the target resource ('a schedule name or comment'), specifying it's done by ID. It distinguishes from siblings like 'update_collection_name_or_owner' by focusing on schedules, but doesn't explicitly differentiate from similar tools like 'update_workflow_name_or_comment' beyond the resource type.

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 alternatives. It doesn't mention prerequisites (e.g., needing schedule ID), exclusions (e.g., cannot update both fields at once if that's a constraint), or comparisons to siblings like 'get_schedule_by_id' for viewing or 'activate_schedule' for state changes.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is an update operation (implying mutation) but doesn't disclose permission requirements, whether changes are reversible, what happens to unspecified fields, rate limits, or response format. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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, efficient sentence with zero wasted words. It's appropriately sized for a basic tool description and front-loads the core purpose immediately.

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 mutation tool with 4 required parameters, 0% schema description coverage, no annotations, and no output schema, the description is insufficiently complete. It should explain what fields are updatable, permission requirements, whether all fields must be provided, and what the response contains to be adequately helpful.

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 0%, so the description must compensate for all 4 parameters. The description only mentions 'ID' (mapping to user_id) but doesn't explain what fields can be updated (first_name, last_name, email) or their semantics. It adds minimal value beyond what's inferable from parameter names, failing to adequately compensate for the coverage 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 clearly states the action ('Update details') and target resource ('existing user by their ID'), which provides a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'update_collection_name_or_owner' or 'update_schedule_name_or_comment' beyond the user focus, so it doesn't fully distinguish from all alternatives.

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 alternatives like 'deactivate_user', 'reset_user_password', or other update tools. It mentions 'existing user' which implies a prerequisite, but offers no explicit when/when-not instructions or named alternatives for different user management scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'Update' implying a mutation, but doesn't disclose behavioral traits such as required permissions, whether changes are reversible, rate limits, or what happens if only name or comment is provided (since both are required in schema). This leaves significant gaps for a mutation tool.

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, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly.

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 mutation tool with 3 required parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It lacks details on behavior, parameter meanings, error conditions, or return values, leaving the agent with insufficient context to use 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?

Schema description coverage is 0%, so the description must compensate. It mentions 'by its ID' hinting at 'workflow_id', but doesn't explain the semantics of 'name' or 'comment' parameters (e.g., what they represent, format constraints, or that both are required). This adds minimal value beyond 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 clearly states the action ('Update') and resource ('workflow name or comment'), specifying it's done 'by its ID'. It distinguishes from siblings like 'update_collection_name_or_owner' by focusing on workflows, but doesn't explicitly differentiate from 'update_schedule_name_or_comment' which has a similar pattern for schedules.

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 on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing workflow ID), exclusions, or compare to sibling tools like 'update_schedule_name_or_comment' or 'update_user_details' for similar updates on different resources.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.