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

No annotations are provided, so the description carries the burden. It discloses that it calls DELETE, implying mutation, and specifies parameter routing, but doesn't mention reversibility, permissions, or side effects (e.g., cascading deletes).

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 brief and front-loaded with the action and endpoint, then efficiently explains parameter placement in a single sentence. It's concise but lacks some important detail, so not a 5.

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?

An output schema exists, but it's not described. The description covers basic usage but misses critical details like required parameters (e.g., 'id' in path), authentication requirements, and potential error responses. For a delete operation, this is a moderate gap.

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 coverage is 0% (descriptions for each parameter are absent), so the description must compensate. It clarifies that path_params are for route IDs, query for filters/pagination, and headers for request headers, which adds meaning beyond the generic parameter names.

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 'Delete' and the resource 'asset' with the HTTP method and path. It distinguishes this as a delete operation among the many asset-related sibling tools, though it doesn't explicitly name siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains where to put parameters (path_params, query, headers) but doesn't explicitly say when to use this tool vs alternatives. The naming convention suggests deleting a specific asset by ID, but no elaboration on prerequisites (e.g., existence, state) is given.

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 communicates that the operation is a DELETE call, which implies destructiveness, but it does not state whether the operation is reversible, requires special permissions, is idempotent, or what consequences follow deletion of the suppression. For a mutation tool, this is a meaningful transparency 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 compact, with the purpose and endpoint in the first sentence and parameter placement in the second. It avoids filler and is appropriately sized. The typo 'suppres' and the slightly awkward phrasing prevent a perfect score, but it remains efficient and scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description names the endpoint and general parameter locations, but it leaves out concrete details needed to actually construct the request, such as which specific query parameters are valid for filters, what pagination fields are expected, and any required headers. The output schema exists, so return-value documentation is not required, but for a tool with fully generic input schema, the description does not provide enough operational detail to ensure correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is essentially generic (all object placeholders with 0% schema description coverage), so the description must compensate. It does add useful semantics by mapping path_params to route IDs, query to filters/pagination, and headers to required request headers. However, it gives no concrete query filter names, no format for the ID, and does not mention the body parameter at all, leaving the agent with only coarse guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action ('Delete suppres vulnerability') and gives the exact endpoint (`DELETE /d/asset/suppress_vulnerability/{id}`), which distinguishes it from sibling GET/POST/PATCH tools on the same resource. The minor typo 'suppres' and lack of explicit 'by ID' phrasing reduce it slightly, but the endpoint and context make the purpose unambiguous.

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 tells the agent how to place parameters ('route IDs in path_params, filters and pagination in query, and any required request headers in headers'), which is useful operational guidance. However, it does not explicitly state when this tool should be selected over alternatives such as post_w_asset_suppress_vulnerability or patch_w_asset_suppress_vulnerability, nor does it mention any preconditions or side effects. Usage is implied by the DELETE verb rather than explicitly contrasted with siblings.

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 present, so the description carries the full burden of disclosing behavior. It states the delete operation but does not mention that deletion is destructive, irreversible, or may impact related data. It also omits any permission requirements, idempotency, or side effects. This is a significant gap for a delete 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 brief and front-loaded with the primary action, followed by a direct reference to the endpoint. It avoids unnecessary words, making it easy to skim. However, it could be more structured by separating the action from parameter placement, but it is acceptably 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?

While an output schema exists (per context signals), the description does not explain what the mapping is, when deletion is appropriate, or what the response will look like. It also introduces 'filters and pagination in query' which is atypical for a delete and unexplained. Given the destructive nature and the zero-coverage schema, the description is incomplete for an agent to confidently invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the schema itself uses generic objects for body, query, headers, and path_params with no specific properties. The description mentions 'route IDs' in path_params but is vague (singular vs plural) and does not clarify what filters or pagination are relevant for a delete, nor what headers may be required. It fails to provide enough meaning for an agent to correctly populate 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 ('Delete agent credential mapping') and identifies the specific resource via the endpoint path. It distinguishes this tool from its get/post/patch siblings for the same mapping resource, so an agent can select it unambiguously.

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 some guidance on where parameters go (path_params, query, headers) but does not explain when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., existence of the mapping) nor contrasts with update or create operations. The usage context is implied rather than explicit.

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 must bear the full burden of behavioral disclosure. It indicates a mutation through 'Delete', but it does not disclose consequences such as irreversibility, authorization requirements, or side effects on related entities. It also mentions 'filters' and 'pagination' in query, which is an unusual behavior for a delete-by-id endpoint, but offers no explanation of how that 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 compact sentence that conveys the operation, endpoint, and a rough parameter-to-request component mapping. It is front-loaded with the purpose. The phrase 'Calls' is a bit awkward and the sentence could be clearer, but it is concise and doesn't waste words.

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 0% schema coverage and no annotations, the description leaves the agent with several unknowns: it does not say the ID is required, which filters/pagination keys to use, whether body must be sent, or any auth/prerequisite expectations. The presence of an output schema helps but does not compensate for the gap in request semantics. A delete-by-ID tool with this little handling is insufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description is the only guidance, and it does add meaning by mapping path_params to route IDs, query to filters/pagination, and headers to required request headers. That is a non-trivial contribution over the empty schema. However, it does not name the actual parameters or indicate whether body is relevant, leaving an agent with ambiguous instructions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear delete action on a specific resource ('agent_discoverysettings_mapping') and even includes the exact HTTP endpoint. It is distinguishable from the post/patch/get variants for the same resource, so an agent can tell this is the deletion operation. A slightly cleaner explanation of what a 'discoverysettings mapping' is would make it 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 gives no explicit guidance on when to use this tool versus its siblings (post, patch, get). It does not state 'use this to remove an existing mapping' or mention prerequisites. The only usage hints are the preceding 'Delete' and the parameter placement instructions, which are more about invocation mechanics than 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?

No annotations are present, so the description should carry the deletion's safety implications. It only says 'Delete' and the route, with no mention of permanence, cascading effects, required permissions, or confirmation steps.

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 short sentences with the action and route front-loaded; no filler. It could be slightly cleaner if it named the path param id explicitly, but it is efficiently sized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is too thin for a destructive tool with no annotations: it defines neither the resource's purpose nor deletion consequences, and the query/pagination advice seems generic. Output schema exists but the missing context still leaves an 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?

The schema provides only generic body, query, headers, and path_params objects with 0% description coverage. The description adds useful placement hints (route IDs in path_params, filters/pagination in query, headers in headers), but it leaves body unaddressed and does not name concrete 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?

States the operation as 'Delete application baseline rule' and gives the exact DELETE route, so an agent knows this is a delete endpoint for the application-baseline-rule resource. It does not explicitly distinguish itself from post/patch siblings, though the verb and HTTP method make the distinction mostly self-evident.

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 choose this tool over the alternatives (e.g., use post to create, patch to update). It only gives parameter placement instructions, not the situations, prerequisites, or exclusions for using a delete 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 must disclose behavioral traits on its own. It states the action is 'Delete,' implying destructive nature, but does not mention irreversibility, required permissions, side effects, or what happens to related data. It also doesn't clarify whether the operation is safe or what the response indicates. This is a significant gap for a delete 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 sentence that packs the endpoint and parameter guidance without extraneous words. It is front-loaded with the action and then provides practical placement info. No fluff, though the structure could be slightly clearer by separating the HTTP call from the parameter guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a delete operation with no annotations and low schema coverage, the description is incomplete. It does not state that the ID in path_params is required (schema marks path_params optional), nor does it mention prerequisites, side effects, or typical error scenarios. The presence of an output schema helps but does not compensate for missing critical usage details. An agent might not know what to put in the body or how to construct the path properly.

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 provides zero descriptions (0% coverage), so the description must compensate. It does clarify that route IDs go in path_params, filters/pagination go in query, and headers go in headers, which adds value over the empty schema. However, it does not name specific parameters, describe formats, or explain what 'filters and pagination' mean. It also omits any mention of the body parameter, leaving its usage 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 verb ('Delete') and resource ('attack surface domain') and references the specific endpoint. It distinguishes from siblings by being the delete operation, though the name already conveys this. It is specific but doesn't elaborate beyond the obvious.

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 the related GET/PATCH tools (e.g., get_r_company_attack_surface_domain_id, patch_w_company_attack_surface_domain). There is no mention of prerequisites, exclusions, or conditions under which deletion is appropriate. The only usage hint is parameter placement, which is not about selecting the 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?

Annotations are absent, so the description carries the full burden here. It communicates that this is a destructive DELETE operation, but it does not disclose side effects, irreversibility, permission requirements, error behavior, or what happens if the target does not exist.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the purpose. The second sentence adds parameter-placement information without excessive verbosity, though it is somewhat formulaic and generic.

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 open-ended schema, no annotations, and 0% schema coverage, the description is not complete enough for an agent to confidently construct the required path parameter or understand what is required. An output schema exists, so return-value details are less necessary, but the deletion behavior and parameter requirements remain underspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate for undocumented parameters. It does provide general placement hints ('route IDs in path_params', 'filters and pagination in query', 'any required request headers in headers'), but it does not specify actual key names, required values, or formats. The body parameter is not mentioned at all.

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 backup software') and gives the exact endpoint (`DELETE /d/company/backup_software/{id}`), making the core purpose obvious. It does not explicitly contrast with sibling get/post/patch backup_software tools, but the verb and endpoint are specific enough to distinguish 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?

The description gives no guidance on when to use this delete tool versus its get/post/patch siblings, nor does it mention prerequisites or alternatives. An agent must infer usage solely from the HTTP method and resource name.

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 provided, and the description offers no behavioral context beyond the action. It doesn't disclose potential irreversible data loss, required permissions, cascade effects, or response details. For a destructive operation, this is a critical omission.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but it wastes space on redundant HTTP method and route that are already in the tool name. The generic instructions about path_params/query/headers add little. It's not concise in a useful way—it's vague.

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 it's a delete operation with no annotations, no parameter details, and an output schema that likely indicates success/failure, the description is inadequate. The agent cannot determine what to provide or what to expect without probing the API externally.

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 coverage is 0%, and the description only generically says to provide route IDs in path_params, filters in query, headers in headers. It doesn't specify what ID goes in path_params (e.g., company ID), what filters are valid, or any format details. Parameters are completely opaque.

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 deletes a company and provides the HTTP method and route. However, 'company' is vague—could refer to a company entity or other company-related resources. It doesn't distinguish between deleting a company vs. other delete tools like delete_d_company_credentials_id, but the route pattern suggests it targets companies 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 on when to use this tool vs. alternatives like get_r_company_companies_id or patch_w_company_companies. It doesn't mention prerequisites, side effects, or use cases. The only hint is the operation and endpoint, which is insufficient.

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 present, so the description carries the full burden of disclosing behavior. It reveals the HTTP method and endpoint but does not state that deletion is permanent, whether related data is affected, or whether special permissions are required. For a destructive operation this 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 compact sentence with no filler. The endpoint and parameter-placement guidance are useful. It is slightly repetitive with the tool name, but the structure is efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the generic schema, missing annotations, and destructive nature of the operation, the description is not complete enough. It omits irreversibility, permissions, response expectations, and any relationship to sibling compliance_assessment tools. The output schema covers return values, so that absence is acceptable, but the behavioral and usage 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%, so the description must compensate. It partially does by explaining that route IDs go in path_params, filters and pagination go in query, and required headers go in headers. However, it does not list specific query filters, clarify what body is for, or explain the expected format of the ID.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Delete compliance assessment' and gives the exact endpoint. This is clear enough to identify the operation. It does not explicitly distinguish itself from sibling get/patch tools, but the verb and endpoint make the core purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives like patch_w_company_compliance_assessment or get_r_company_compliance_assessment_id. The instruction about where to place path_params, query, and headers is invocation mechanics, not 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?

With no annotations provided, the description carries the burden of disclosing behavior. It clearly states the destructive operation and the HTTP method, which is central information. However, it does not disclose side effects, irreversibility, required permissions, or failure 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 two sentences with no filler. The core operation and endpoint are front-loaded, and the parameter guidance is compact and directly useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple CRUD delete tool, the operation, endpoint, and parameter placement are present. The existence of an output schema reduces the need to document return values. However, there is no usage-context guidance, body semantics, or clarification of required path fields, so the definition is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds meaning by mapping path_params to route IDs, query to filters/pagination, and headers to request headers. The body parameter is not explained, but for a delete operation that is a minor gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the action ('Delete credential') and the exact endpoint (`DELETE /d/company/credentials/{id}`), making the resource and scope unambiguous. It naturally distinguishes this from sibling deletion tools because it names credentials and includes the ID placeholder.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives procedural placement advice (route IDs in path_params, filters/pagination in query, headers in headers) but never says when this tool should be chosen over alternatives. There is no mention of prerequisites, 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action and HTTP method but does not disclose whether deletion is permanent, what side effects occur, what authentication is required, or what the successful response looks like. This is a meaningful gap for a destructive 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 extremely compact: one sentence states the purpose and endpoint, and a second sentence maps the parameters to their locations. There is no redundant wording or filler, and the most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is sufficient for a simple HTTP delete call with an output schema available, but it omits specifics such as the expected path parameter key, whether the body should be null/omitted, and which filters or headers are relevant. For a destructive op with no annotations, more context would help ensure correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage with four generic parameter objects. The description compensates partially by assigning roles: path_params for route IDs, query for filters and pagination, and headers for request headers. However, it does not explain the body parameter at all and gives no concrete examples or required header names.

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 identifies the operation: 'Delete custom profile' and specifies the exact HTTP endpoint. This distinguishes it from sibling tools like get_r_company_custom_profile_id, post_w_company_custom_profile, and patch_w_company_custom_profile, which target the same resource with different verbs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives some invocation guidance by telling the agent to put route IDs in path_params, filters/pagination in query, and headers in headers. However, it does not explicitly state when to choose this tool over the get/post/patch siblings for the same resource, nor does it mention any prerequisites 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, the description must carry the behavioral disclosure burden. It indicates a destructive DELETE operation but does not mention side effects, irreversibility, authorization requirements, or consequences of deletion. The instruction about required headers hints at auth but is vague.

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 no filler. The operation and endpoint are front-loaded, and the parameter-placement guidance is compact and directly actionable.

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 and a generic schema, the description is too shallow. It does not specify the required path parameter key, exact query parameters, required headers, or any behavioral caveats. The output schema partially covers return values, but the call setup remains under-specified.

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 coverage is 0%, so the description must compensate. It adds meaning by telling the agent that path_params carry route IDs, query carries filters/pagination, and headers may carry required values. However, it does not provide specific parameter names, formats, or whether the path 'id' is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Delete') and resource ('custom ticketing template') and includes the exact HTTP endpoint. This clearly distinguishes it from sibling read/create/update tools for the same resource, so an agent can identify its purpose immediately.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives operational guidance about placing parameters, but it does not state when to choose this tool over alternatives or mention exclusions. No prerequisites, conditions, or when-not-to-use context is provided.

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 at all, the description must disclose destructive side effects, reversibility, permission requirements, or related resources affected. It merely restates 'delete' and gives endpoint/param details, which adds no behavioral insight beyond the tool name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no fluff. The operation and endpoint are front-loaded, and the second sentence packs practical parameter placement guidance into a compact form.

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 generic params, absent annotations, and complexity of a deleteting resource, the description covers the basics but misses valuable context: what a discovery setting is, any impact on associated agent mappings, possible permissions, and the purpose of the body parameter. The output schema existing just partially compensates for return-value concerns.

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 coverage is 0% and all params are generic object shells. The description provides some useful meaning by specifying that path_params should carry the route ID, query should carry filters and pagination, and headers should carry required headers. But body is not explained, and no concrete key names are given, leaving partial 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 identifies the operation as 'Delete discovery setting' and gives the exact DELETE endpoint, which differentiates it from get/post/patch siblings on the same resource. It stops short of a 5 because it does not explain what a discovery setting is or what the ID maps to.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives like patch_w_company_discovery_settings or get_r_company_discovery_settings. The delete operation is only implied by the verb, with no prerequisites, exclusions, or mention of when not 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 must carry the burden. It only says 'Delete edr' and the HTTP method, which implies mutation but does not disclose the irreversible nature of deletion, potential dependencies (e.g., cascading effects), or required permissions. Nothing about response status codes or error cases.

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?

Very concise, two sentences, front-loads the purpose. Points about path_params, query, headers are stated in one line, but the lack of detail means it underspecifies rather than being efficiently written.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's inherent destructive nature and the presence of an output schema, the description still misses crucial info: what an 'edr' is, what the output schema represents, and any safeguards. It is not complete for a deletion operation.

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 briefly says to provide route IDs in path_params, filters in query, and headers in headers, but the input schema has 0% coverage and no parameter names or types. The agent cannot know what exactly goes where beyond a general hint, which is inadequate given the schema's emptiness.

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 edr' and the endpoint `DELETE /d/company/edr/{id}`. It distinguishes from siblings by being one of the few delete_d_ tools, though it doesn't explicitly mention what specific EDR resource is deleted, relying on the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus other delete or EDR tools. It does not mention prerequisites (e.g., needing an existing EDR ID), nor does it advise against using it when other operations are more 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 must carry the full behavioral burden. It only reveals the HTTP method and parameter placement; it does not disclose side effects, irreversibility, required authentication, error behavior, or what happens to related data. The mention of 'filters and pagination in query' is a small behavioral hint but is underdeveloped.

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 short sentences with no filler. The core purpose and endpoint are front-loaded, followed by the essential parameter-placement guidance. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema exists, so return values do not need explanation, but for a destructive operation with no annotations this is still incomplete. Missing context includes which path parameter identifies the event set, whether deletion is permanent, required permissions/headers, and why query filters/pagination apply to a DELETE. An agent could call this correctly only by guessing from the tool name and endpoint.

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 does map three of the four generic parameters to meaningful roles: path_params for route IDs, query for filters/pagination, and headers for required request headers. However, it omits the body parameter and gives no concrete key names or formats, leaving the schema's additionalProperties objects still largely opaque.

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 event set') and the exact endpoint (DELETE /d/company/event_set/{id}). This distinguishes it from sibling GET/POST/PATCH event set tools and leaves no ambiguity about the resource being acted on.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool versus alternatives such as patch_w_company_event_set or get_r_company_event_set_id. The parameter-placement instructions are helpful but do not explain prerequisites, exclusions, or when deletion would be 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 must cover behavioral details. It states the HTTP method (DELETE) and the endpoint, which implies a destructive operation, but it does not disclose potential side effects, permanence, or required authentication, leaving significant gaps for a destructive 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 concise, a single sentence that front-loads the primary action and endpoint. It efficiently communicates the high-level purpose, but it omits critical detail that could have been added without much length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema exists but is not described, so the description should cover what is returned. It does not. The description also lacks detail on path parameter requirements, error handling, or response format, making it insufficient for an agent to call correctly with confidence.

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 coverage is 0%, so the description must compensate. It does explain the roles of path_params, query, headers, and body generically, but it does not specify which parameters are expected for this endpoint (e.g., the id in path_params), leaving the agent to guess. This provides minimal added value.

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 deletes a PII scan setting and calls the DELETE endpoint, specifying the resource. It is distinguishable from siblings like get_r_company_pii_scan_settings and post_w_company_pii_scan_settings based on the verb and resource.

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 general guidance on where to place parameters (path_params, query, headers) but does not specify when to use this tool versus alternatives, nor does it mention prerequisites such as the existence of the setting or required permissions.

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 must carry the behavioral burden, but it only restates the DELETE semantics and endpoint. It does not disclose that the operation is destructive, irreversible, requires special permissions, or what cascading effects may occur. This is a significant gap for a delete 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 two sentences with no filler. The action and endpoint are front-loaded, and the parameter guidance is compact and readable. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema (so return-values need not be explained), the description is incomplete for a destructive tool: no annotations, no behavioral consequences, no clarity on whether 'route IDs' means one or many, and no error handling or prerequisites. The parameter hints help but do not fully cover the operational 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%, and the description compensates by explaining that path_params carry route IDs, query carries filters/pagination, and headers carry required request headers. This adds meaning beyond the bare schema, although it lacks specifics about the exact filter/header formats.

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 operation ('Delete scheduler') with the specific HTTP endpoint `DELETE /d/company/scheduler/{id}`. This distinguishes it from sibling scheduler tools like get_r_company_scheduler, post_w_company_scheduler, and patch_w_company_scheduler.

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. There is no mention of when deletion is appropriate, prerequisites, or any contrast with the related scheduler create/update/get tools. The only implied usage is from the tool name itself.

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 discloses the HTTP method (DELETE) which implies irreversibility, but it does not state whether the deletion is permanent/cascading, what happens to associated resources, whether authentication/authorization is required, or what the response body/status is. It is a destructive operation and the description gives no warning or side-effect information.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with the essential routing information front-loaded. It wastes no words and is easy to parse. It could earn a 5 by adding a caution about the destructive nature or a link to the API spec, but for what it is, it is compact and direct.

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 DELETE operation with no annotations, no output schema details leveraged in the description, and 0% parameter documentation, the description is not nearly complete. An agent would not know whether it needs an ID in path_params (though the URL hints at it via {id}), what filters/pagination apply to a delete call (unusual), or what success looks like. The presence of an output schema helps with return values, but the description still lacks semantics for the generic body/query/headers/path_params containers.

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 params are generic containers (body, query, headers, path_params) with no property-level documentation. The description adds minimal guidance: route IDs go in path_params, filters/pagination in query, required headers in headers. This is helpful at a high level, but it does not enumerate which path_params keys, which query parameters, or which headers are expected, leaving the agent to guess the actual names and formats. With 0% coverage and a destructive call, this is a significant 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 operation (Delete tag rule) and the HTTP method and path (DELETE /d/company/tag_rules/{id}). This distinguishes it from sibling tools like get_r_company_tag_rules and patch_w_company_tag_rules, which are read/update operations on the same resource. However, it relies on the tool name for the resource identity and does not explain what a tag rule is.

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 when to use delete_d_company_tags_id or patch_w_company_tag_rules instead. It only states the mechanics of the call (where to put path_params, query, headers), not the conditions under which deletion is appropriate or safe. No exclusions, prerequisites, or sibling comparisons are given.

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 must disclose the destructive nature fully. It mentions the DELETE HTTP method, implying a mutating action, but does not state whether deletion is permanent, irreversible, requires special permissions, or has cascading effects. Essential safety context for a delete tool is missing.

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 terse sentences carry the entire description. The main action ('Delete tag') is front-loaded, and the second sentence is a single instruction covering all parameter containers. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a vague schema with all additionalProperties free-form, no annotations, and only a fleeting mention of 'filters and pagination' on a delete operation. The description does not explain why include pagination on a delete, what response to expect (though output schema exists), or prerequisites like the tag being present. The overall context is incomplete for safe operation.

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 coverage is 0%, so the description must compensate. It assigns high-level roles to each generic container: route IDs in path_params, filters/pagination in query, required headers in headers. However, it never explains what the actual ID format is, what filters are legal, or which headers are required, so it only partially fills the 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 a specific verb and resource: 'Delete tag' and the HTTP method route. It distinguishes itself from sibling operations (get/post/patch) by its delete nature, though it does not explicitly contrast with other delete 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 gives mechanical guidance on where to place parameters (path_params, query, headers) but says nothing about when to use this tool versus alternatives, prerequisites, or scenarios where deletion would be inappropriate. No exclusion or alternative information is present.

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 disclosure burden. It states 'Delete' and the HTTP method, but does not disclose consequences, irreversibility, authorization requirements, idempotency, or error behavior. For a destructive operation, this 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?

Two sentences with no filler: the first identifies the action and endpoint, the second covers parameter placement. Minor punctuation/formatting awkwardness ('Delete company mapping Calls') prevents a perfect score.

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?

An output schema exists, so return values need not be described. However, with no annotations and zero schema coverage, the description only provides routing hints and omits operational context like the required ID semantics and side effects. It is minimally adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It usefully maps the generic parameters to HTTP locations (path_params, query, headers), but it does not specify the required path parameter key or the exact query parameter names, leaving the agent dependent on external knowledge.

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 company mapping'), names the HTTP endpoint, and identifies the method (DELETE). This is unambiguous and distinguishes the tool from the read/create/patch sibling tools for the same resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives concrete invocation guidance: route IDs go in path_params, filters/pagination in query, and required headers in headers. It does not explicitly discuss when not to use the tool, but for a delete operation the purpose is self-evident and no deleting alternative for this resource exists among siblings.

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 must carry the full burden of behavioral disclosure. It mentions the HTTP method (DELETE) and implies a destructive action, but it does not mention irreversibility, authentication requirements, side effects, or idempotency. The description also oddly tells the caller to provide 'filters and pagination in query' for a delete operation, which is unusual and unexplained, adding confusion rather than 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 concise, with two sentences. The first sentence states the purpose and the HTTP call, and the second explains parameter placement. It is front-loaded with the primary action. No unnecessary fluff, though it could be better structured by splitting the instruction into a clearer list.

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 delete operation with no annotations, the description is incomplete. It does not clarify whether path_params, query, and headers are required or optional (despite the schema marking them nullable with defaults). It also lacks information about authentication, preconditions (e.g., whether the credential must exist), and any consequences of deletion. The presence of an output schema mitigates the need to describe return values, but the operational context is still thin.

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 provides only generic object types with no descriptions (coverage 0%), so the description adds some value by explaining that path_params should contain route IDs, query holds filters and pagination, and headers holds request headers. However, it does not describe the body parameter at all, and it leaves the exact structure of query/headers unspecified. This is a moderate compensation for the schema gap but not comprehensive.

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 'Delete integration credential' as the primary action, which is a specific verb and resource. It also names the exact HTTP call (DELETE /d/integration/integration_credentials/{id}), making the tool's purpose unambiguous and distinguishable from the many other delete tools in the sibling list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The description only explains how to structure the call (path_params, query, headers) but does not mention conditions under which this delete operation is appropriate, nor does it reference any sibling tools or exclusion criteria. For an agent, there is no explicit direction on choosing this specific delete tool over other delete operations.

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 reveals that this is an HTTP DELETE operation, but does not disclose whether deletion is permanent, whether there are cascading effects, what happens if the id does not exist, or what response to expect. For a destructive mutation tool, this 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 two sentences with no filler, front-loading the action and then providing a compact parameter-placement guide. It is slightly redundant with the tool name, but the endpoint and placement instructions earn their place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and 0% schema description coverage, the description is not complete enough. It does not state that the id in path_params is required, does not mention the optional body, and provides no error or side-effect context. The presence of an output schema reduces the need to describe return values, but key invocation constraints remain undocumented.

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 adds meaning to three parameters: path_params carry route IDs, query carries filters and pagination, and headers carry required request headers. However, it omits the body parameter entirely, which is also present in the schema, and does not clarify which parameters are required or how IDs should be formatted. Partial compensation only.

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 opens with a specific verb and resource, 'Delete integration rule', and then names the exact HTTP endpoint. This clearly distinguishes it from sibling tools like get_r_integration_integration_rules_id, post_w_integration_integration_rules, and patch_w_integration_integration_rules.

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 instruction to place route IDs in path_params, filters/pagination in query, and headers in headers gives concrete invocation guidance. However, it does not explicitly state when to choose this tool over alternatives or mention conditions such as irreversibility or prerequisites. Usage is implied by the verb and HTTP method rather than explicitly contrasted with siblings.

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 the full burden of behavioral disclosure. It correctly signals a read operation through 'Retrieve' and 'GET' and mentions pagination, but it does not identify required authentication headers, error behavior, or result scoping. This leaves important behavioral gaps for an unannotated 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 compact and front-loaded: the first sentence states the operation and endpoint, and the second explains parameter placement. No filler is present, though the second sentence is somewhat generic template language.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema exists, so return-value documentation is not needed, and the endpoint plus parameter placement are useful. But with a huge sibling list, no guidance on when to pick this endpoint over the _id variant, no specific query keys, and no authentication details make the description incomplete for confident 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 schema is generic containers with 0% description coverage, so the description partially compensates by mapping path_params to route IDs, query to filters and pagination, and headers to required request headers. However, it omits the body parameter and supplies no concrete filter or header names, leaving some ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Retrieve') and resource ('asset firewall policy'), and reinforces it by naming the exact HTTP endpoint. It is clear enough to distinguish from most unrelated siblings, though it does not explicitly contrast with get_r_asset_asset_firewall_policy_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?

The description gives only mechanical instruction about where to put path params, query params, and headers. It does not say when to use this tool instead of the _id variant or related asset firewall endpoints, so an agent gets no decision guidance.

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. It does disclose the HTTP method (GET), the read-only nature implied by 'Retrieve', and where filters/pagination/headers go. However, it omits potential error behavior, authentication requirements, or requiredness of the ID, though the existing output schema reduces the need to describe return values.

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 concise sentences front-load the purpose and endpoint, then give the only necessary invocation details. Every sentence earns its place and there is no redundant or filler content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple GET-by-ID endpoint, the description covers the core invocation pattern and the output schema handles return values. However, without annotations, the absence of explicit requiredness, exact query parameter names, and any mention of the body parameter leaves moderate gaps for an agent that needs to call this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema is entirely generic with 0% description coverage, so the description must compensate. It usefully maps path_params to route IDs, query to filters/pagination, and headers to required request headers, giving the agent meaningful placement guidance. Still, it does not name specific filter or pagination parameters or clarify the body parameter's role.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Retrieve asset firewall policy' backed by the exact endpoint `GET /r/asset/asset_firewall_policy/{id}`. The `_id` suffix and `{id}` placeholder clearly distinguish this singular resource tool from the sibling `get_r_asset_asset_firewall_policy` collection tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context: use this tool to retrieve an asset firewall policy by ID, with IDs placed in path_params and filters/pagination in query. It does not explicitly compare against sibling alternatives or state when not to use it, but the singular `{id}` resource still makes the intended usage obvious.

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?

The description openly states that it calls `GET /r/asset/asset_installed_drivers` and mentions pagination, which signals an indirect non-destructive, read-only operation. However, with no annotations and no mention of authentication, required headers, or any edge-case side effects, behavioral disclosure is partial and leaves 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 compact and front-loaded: the first phrase states the action, and the second provides the parameter-to-context mapping. Both sentences contribute value, with no fluff, although the inclusion of the raw endpoint string is somewhat redundant with the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is too thin for a GET collection tool with a sibling that handles individual IDs. It is ambiguous what 'route IDs' actually mean (asset ID? driver ID?) and fails to explicitly state whether this returns for all assets or one asset. Given no annotations and no schema descriptions, the agent must guess the path parameter requirements and the singularity/plurality of the returned data.

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 is the only place explaining the container parameters. It does add meaning by mapping path_params to 'route IDs', query to 'filters and pagination', and headers to 'required request headers', which is beyond the schema. Yet it does not enumerate the expected fields or explain the `body` parameter, so the added semantics are shallow.

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 specific action ('Retrieve asset installed drivers') and identifies the endpoint, giving a clear, specific verb and resource. However, it does not differentiate from the sibling tool `get_r_asset_asset_installed_drivers_id`, so an agent must infer which one returns a collection versus a single record.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives minimal usage guidance by saying to provide route IDs in path_params and filters/pagination in query, but it does not offer any when/when-not instructions or point to alternatives. It is unclear whether the agent should choose this tool over the singular `_id` variant or other asset retrieval tools, so no meaningful decision support is provided.

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 the burden of behavioral disclosure. It conveys a read-only GET retrieval, but does not mention auth expectations, response shape, error behavior, or any side effects. It is minimally transparent for a simple retrieval operation but adds little beyond the HTTP method and parameter placement.

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 short sentences with no filler. The endpoint and action are front-loaded, and the parameter placement guidance is compact and immediately actionable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple GET-by-ID tool with an output schema present, the description covers the endpoint, where to put path params, query parameters, and headers. It doesn't discuss the body parameter or when to use the list variant, but the core invocation details are sufficient for an agent to make a correct call.

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 coverage is 0% and all parameters are generic object containers, so the description's guidance is valuable: it maps path_params to route IDs, query to filters/pagination, and headers to required request headers. It does not enumerate specific filter keys, but given the open-ended schema, it compensates for most of the ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the operation ('Retrieve asset installed driver') and identifies the exact endpoint with an {id} placeholder, so an agent knows it is a detail-by-ID read. It does not explicitly contrast itself with the sibling get_r_asset_asset_installed_drivers, so differentiation is implied rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives mechanical invocation guidance ('Provide route IDs in path_params, filters and pagination in query, and any required request headers in headers') but no guidance on when to choose this tool over the non-{id} sibling or any other lookup. There is no when/when-not context or alternative 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 must carry the behavioral disclosure burden. It conveys that this is a retrieval operation via 'Retrieve' and 'GET', but it discloses nothing else: no auth requirements, pagination behavior, side effects, or response characteristics. The behavioral transparency is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core action and endpoint. The second sentence condenses the purpose of each parameter bucket into one line. It is not overly verbose, though the phrase 'Retrieve asset interface' and 'Calls GET /...' are slightly redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema covers return shape, so that is not a gap, but the description still leaves important operational context unresolved. It does not clarify whether this endpoint returns a single asset interface or a list across assets, nor does it explain authentication, sorting, or pagination specifics. For a generic REST wrapper with zero annotations, this is thinner than it should be.

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 every bit of parameter guidance comes from the description. It usefully maps path_params to route IDs, query to filters and pagination, and headers to required request headers, which adds meaning beyond the generic schema objects. However, it never names actual filter fields, query parameters, or required headers, so the coverage is partial.

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 uses a specific verb and resource ('Retrieve asset interface') and identifies the exact HTTP endpoint, so an agent can tell it is a read-only asset interface operation. However, it does not differentiate from the sibling get_r_asset_asset_interface_id, leaving ambiguity about collection vs. single-item semantics.

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 instructs where to put route IDs, query filters, and headers, which is helpful, but it never says when to prefer this tool over its siblings, especially get_r_asset_asset_interface_id. There is no explicit 'use for list' or 'use for single record' guidance, no prerequisites, and no alternatives.

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 reveals it is a GET request (read-only), but does not mention authentication requirements, potential errors, rate limits, or pagination specifics. It also fails to clarify whether the path_params `{id}` is mandatory despite the schema marking it optional. The description adds minimal behavioral context beyond the HTTP method.

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 crisp sentences. The first states the purpose, the second tells where to place parameters. There is no redundant fluff; every sentence earns its place, and the key information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple GET with an output schema (indicated but not shown), the description covers the core usage. However, it does not differentiate from the likely list variant sibling, does not mention error handling or authorization, and does not confirm whether the ID is required. These gaps leave the agent uncertain about essential invocation details.

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 gives high-level guidance on what goes into path_params (route IDs), query (filters/pagination), and headers (required headers), but omits the body parameter entirely. It does not specify any field names or formats, leaving the agent to infer from the open-ended schema. This is partial compensation but not enough for full semantic 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 states the exact action ('Retrieve asset interface') and the endpoint (`GET /r/asset/asset_interface/{id}`). It clearly identifies the resource and distinguishes it from the many other `get_r_asset_*` siblings by naming the specific 'asset_interface' resource.

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 explains how to construct the call (route IDs in path_params, filters/pagination in query, headers in headers), but it does not specify when to use this tool versus the similar sibling `get_r_asset_asset_interface` (which likely lists all interfaces). No exclusions or alternatives are mentioned beyond the mechanics.

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?

There are no annotations, so the description must carry the behavioral disclosure burden. It reveals that the call is a GET and implies read-only retrieval, but it does not mention pagination behavior, required authentication, or any other call characteristics. The generic parameter-placement advice does not compensate for this lack of behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the action and endpoint. It wastes no words, though the run-on sentence and awkward 'Calls' construction slightly reduce 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?

Given a generic schema with zero parameter documentation and no annotations, the description leaves too much unresolved: what asset_msdt represents, what filters are available, and how pagination works. The output schema reduces the need to describe return values, but the input-side gaps remain significant.

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 it only provides broad roles: route IDs in path_params, filters/pagination in query, and headers. No concrete parameter names, formats, or examples are given, and the 'route IDs' instruction is confusing for a static endpoint with no path placeholder.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Retrieve asset msdt') and gives the exact endpoint, which distinguishes it from the sibling get_r_asset_asset_msdt_id. However, 'asset msdt' is not explained, and the description does not explicitly contrast this collection-style call with related asset endpoints.

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 the '_id' variant or other asset report tools. The only usage hint is where to place parameters, not when this endpoint is the right choice.

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 discloses the HTTP method (GET) and the general parameter placement, but it does not describe response behavior, error conditions, authentication requirements, or any side effects. For a read-only GET tool, the lack of annotation coverage makes this a notable 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 compact and front-loads the core action ('Retrieve asset msdt') before the endpoint and parameter guidance. It is a single sentence with no filler, though it could be slightly more structured by separating the endpoint from the parameter instructions.

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 4 parameters, no annotations, and a generic schema with 0% description coverage, the description is incomplete. It does not explain what an 'asset msdt' is, what the response contains, or how the `{id}` path parameter should be formatted. The presence of an output schema mitigates the need to describe return values, but the input semantics are still under-specified.

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 does explain the roles of path_params, query, and headers at a high level, but it does not specify the actual parameter names, formats, or required values. The `body` parameter is not mentioned at all, and the schema itself is generic (additionalProperties), leaving the agent without concrete parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Retrieve') and resource ('asset msdt'), and identifies the exact HTTP endpoint (`GET /r/asset/asset_msdt/{id}`). It is clear what the tool does, though it does not explicitly differentiate from the sibling `get_r_asset_asset_msdt` (the list variant) beyond the `{id}` in the path.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives some usage guidance by telling the agent to put route IDs in path_params, filters/pagination in query, and headers in headers. However, it does not state when to use this tool versus the sibling `get_r_asset_asset_msdt` (list vs. single-item retrieval), nor does it mention any exclusions or alternatives.

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 behavioral burden. It transparently signals a read-only operation via 'Retrieve' and 'GET /r/asset/asset_ports', and clarifies parameter placement. However, it does not disclose authentication requirements, route ID semantics, or other behavioral details beyond the obvious GET semantics.

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 compact and front-loaded: the core operation appears in the first sentence, and the second sentence efficiently conveys parameter routing. The explicit 'Calls GET /r/asset/asset_ports' is slightly redundant after 'Retrieve asset ports' but not wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the main request-construction steps and an output schema exists for return values, but it leaves gaps: what 'route IDs' refers to, whether body should ever be used, and how this endpoint differs from the closely named get_r_asset_asset_ports_id are all unspecified. It is adequate for a generic REST wrapper but not complete for confident selection among many similar 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?

Schema description coverage is 0% and all four parameters are generic empty containers, so the description's mapping of path_params, query, and headers to specific content types is genuinely valuable. It tells the agent where route IDs, filters/pagination, and headers belong, though it does not enumerate possible query filter keys or address the 'body' parameter.

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 opens with 'Retrieve asset ports,' a clear verb+resource statement that identifies the operation. It also names the exact endpoint, though it does not explicitly differentiate itself from similar siblings like get_r_asset_asset_ports_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?

The description gives parameter-placement instructions ('Provide route IDs in path_params, filters and pagination in query...') but offers no guidance on when to use this tool versus alternatives. With dozens of asset-related siblings, the absence of any when-to-use or when-not-to-use context leaves selection to the agent's inference.

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 must compensate. It does not disclose the return format (though an output schema exists), error conditions, authentication requirements, or any side effects. It only states the HTTP call semantics, which is minimal behavioral context for a GET 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 concise but only partially front-loaded; it starts with the action and endpoint but quickly becomes generic. The sentence about parameter placement is useful but could be more specific. It is not overly verbose, but it could be restructured to present key details (e.g., expected path param) more prominently.

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 simple structure (no nested objects, output schema present), the description is still inadequate because it lacks details on the exact path parameter name (e.g., 'id'), the shape of the query filters, and the response structure. An agent would have to infer too much from the endpoint itself.

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 explain parameters. It provides only generic guidance (route IDs in path_params, filters/pagination in query, headers in headers) but does not list specific parameter names or their types. This is a baseline level of compensation 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 states the verb 'Retrieve' and the resource 'asset port' (assumed from the tool name), and it identifies the endpoint. However, it does not fully clarify what an 'asset port' represents or differentiate it from the sibling tool get_r_asset_asset_ports (without ID). The description is a near-restatement of the tool name and endpoint, providing minimal added clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions how to structure the request (path_params, query, headers) but does not specify when to use this tool versus the sibling get_r_asset_asset_ports (the list tool) or other related tools. It implies use for retrieving a single asset port by ID but does not state prerequisites 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. It does disclose the HTTP method (GET) and 'Retrieve' wording implies read-only, plus useful parameter-placement behavior. However, it says nothing about pagination defaults/limits, authentication requirements, rate limits, or error behavior for a report endpoint.

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 purpose front-loaded and no filler; the parameter-routing guidance earns its place. Minor punctuation flaw ('data Calls' missing a period) slightly mars readability, but overall it is compact and direct.

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?

An output schema exists, so return-shape documentation is covered elsewhere. But with zero annotations and 0% schema coverage, the description leaves notable gaps: it doesn't clarify what the security report data contains, when body would be needed, which filters are valid, or how pagination is expressed. Adequate as a generic REST wrapper description, thin for a report-data tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it partially does: it assigns roles to path_params (route IDs), query (filters and pagination), and headers (required request headers). However, the body parameter is left completely unexplained, and no concrete filter or pagination key names are given.

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?

States a specific verb and resource ('Retrieve asset security report data') and names the exact HTTP endpoint (GET /r/asset/asset_security_report_data). The endpoint path distinguishes it at a technical level from siblings like get_r_asset_asset_security_report_data_id and get_r_report_queries_asset_security_report_data, though it never explicitly contrasts 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?

Provides no when-to-use guidance. The description explains the calling convention (route IDs in path_params, filters/pagination in query, headers in headers) but never says when to select this tool over the _id variant or the report_queries variant, and offers no exclusions or alternatives.

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 the full burden, but it only restates that this is a GET/retrieve operation and the endpoint. It does not disclose authentication needs, error behavior, pagination defaults, or any restrictions, so an agent gets little behavioral context beyond the obvious read-only nature.

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 short sentences convey the action, endpoint, and parameter placement with no filler. It is efficient, though slightly repetitive with the endpoint embedded in the description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is minimally viable for a single-resource GET call: it identifies the endpoint and tells the agent where to supply the ID, query, and headers. The output schema covers return values, but the description still lacks exact parameter names, body handling, and any caveats, so it is adequate with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and all four parameters are generic containers. The description adds some meaning by mapping path_params to route IDs, query to filters/pagination, and headers to required request headers, but it does not name the actual query/filter keys or the path parameter key, leaving significant ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Retrieve') and resource ('asset security report datum'), and gives the exact endpoint path with the {id} placeholder. It is not a tautology, but it does not explicitly differentiate this from the sibling collection endpoint get_r_asset_asset_security_report_data, so it stops short of 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 gives practical guidance on where to place parameters (route IDs in path_params, filters/pagination in query, required headers in headers), which implies when it should be used. However, it does not state any alternatives or exclusion conditions relative to the many sibling report 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 reveals the HTTP method (GET) and endpoint, implying a read operation, but it does not state whether this is a safe read, whether it requires authentication, whether it returns a list or a single object, or any pagination behavior. The description adds only the endpoint call pattern, not meaningful behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the main action, which is good. However, the second sentence is a generic restatement of how to fill the schema parameters and does not add tool-specific value. It is concise but not particularly informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has an output schema, so return values are covered elsewhere, but the description is still incomplete for a 4-parameter tool with 0% schema coverage and no annotations. It lacks any explanation of what asset shares are, what filters are available, what route IDs are expected, or how pagination works. An agent would struggle to construct a correct request beyond guessing from the endpoint name.

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 it only names the parameter groups (path_params, query, headers) without explaining what route IDs, filters, or pagination parameters are valid. The schema itself is permissive (additionalProperties: true) and provides no parameter names or formats, so an agent has no concrete guidance on what to pass. The description adds almost no semantic value beyond the schema's property names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource ('Retrieve asset shares') and names the exact endpoint, which is useful. However, it does not explain what 'asset shares' are or what the returned data represents, and it does not distinguish this tool from its sibling get_r_asset_asset_shares_id or the similar get_r_asset_asset_user_shares. The name and endpoint carry most of the meaning.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives. It only says to provide route IDs, filters, pagination, and headers, which is generic invocation mechanics, not usage context. There is no mention of when to prefer this over get_r_asset_asset_shares_id or get_r_asset_asset_user_shares.

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 the behavioral burden. It conveys a read-only intent via 'Retrieve' and `GET`, and it mentions filters and pagination, which hints at request behavior. However, it does not disclose authentication needs, response shape expectations, or whether the route ID is mandatory despite the schema listing no required parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the resource and endpoint, then maps arguments to their locations. It is compact and free of filler, though the phrase 'any required request headers in headers' is somewhat boilerplate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a simple GET-by-ID call and the output schema exists, so return values need no explanation. However, it omits whether the ID is required, how the query filters/pagination are structured, and any auth or error context. Given the low schema coverage, more contextual detail would improve call success.

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 tells the agent that path_params hold route IDs, query holds filters/pagination, and headers hold required headers. This is useful but remains generic; it does not specify actual parameter names, value formats, or which pagination/filter keys are supported.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Retrieve asset share') and explicitly shows the endpoint `GET /r/asset/asset_shares/{id}`. It is clear that this tool fetches a single asset share, though it does not explicitly contrast itself with the sibling collection endpoint `get_r_asset_asset_shares`.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to choose this tool over alternatives such as `get_r_asset_asset_shares`, nor any mention of prerequisites or exclusions. The phrase 'Provide route IDs...' is operational instruction, not usage context. An agent must infer the intended single-record use case from the name and endpoint.

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 the full burden. It correctly conveys that this is a GET (read-only) operation and hints at pagination and required headers, but it does not disclose pagination behavior, filter syntax, or potential errors. The presence of an output schema partially excuses missing return-value details.

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 no redundancy. The main purpose is front-loaded, and the parameter routing instruction is compact and directly useful.

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 straightforward GET with an output schema, the description covers the operation and parameter placement. However, it omits sibling selection guidance and doesn't specify required path parameters or concrete filter keys, leaving an agent to infer details that may be necessary for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates by explicitly explaining the role of three key parameters: path_params (route IDs), query (filters and pagination), and headers (required request headers). This adds meaningful semantics beyond the bare property names, even though the body parameter is left unmentioned.

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 verb 'Retrieve' and resource 'asset storages' and includes the exact API path. It clearly identifies a collection-level operation, but doesn't explicitly differentiate from the singular sibling get_r_asset_asset_storages_id, leaving that distinction to the plural name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives parameter placement guidance (route IDs in path_params, filters/pagination in query, headers in headers) but provides no instructions on when to prefer this tool over alternatives, such as the singular get_r_asset_asset_storages_id, and no explicit exclusions or conditions.

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 reveals the HTTP method (GET) and parameter placement, but doesn't disclose what the response contains, whether the resource can be null/404, authentication requirements, or any side effects. For a read operation the lack of side-effect disclosure is less critical, but the absence of any response or error behavior context leaves 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 sentence that front-loads the core action and endpoint, then packs parameter guidance efficiently. Every clause earns its place. It could be slightly more structured (e.g., separating parameter guidance into a second sentence), but it is compact and readable.

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 an output schema, return values are covered elsewhere, but the description still lacks critical context: what 'asset storage' represents, what filters/pagination parameters are valid, what headers might be required, and how errors manifest. The sibling list is enormous and mostly follows the same naming pattern, so an agent could infer some context, but the description alone is not complete enough for reliable 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?

Schema description coverage is 0%, so the description must compensate. It does explain the roles of path_params, query, and headers at a high level, but the schema's properties are generic objects with no property-level documentation. The description doesn't specify what the path_params should contain beyond 'route IDs', what filters are available, or what headers might be required. This is better than nothing but insufficient for an agent to construct correct parameters without external knowledge.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Retrieve') and resource ('asset storage') and explicitly names the HTTP endpoint. It distinguishes itself from the collection endpoint get_r_asset_asset_storages by the {id} suffix, though it doesn't name that sibling directly. The purpose is clear enough for an agent to know it fetches a single asset storage record.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives practical guidance on where to place parameters ('route IDs in path_params, filters and pagination in query, and any required request headers in headers'). This implies when to use the tool (when you have an ID and want a single resource), but it doesn't explicitly state when not to use it or mention alternatives like the list endpoint. The guidance is useful but not fully explicit about selection criteria.

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 behavioral burden, yet it only discloses the GET method via the URL and broad parameter buckets. It does not explain pagination behavior, whether route IDs are truly required (the schema lists 0 required parameters while the description says to provide them), or what the returned data represents. This inconsistency between the description and schema further weakens 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?

Two sentences, purpose front-loaded, and no filler—each sentence earns its place. Minor deductions for the 'unqouted' typo and for the abrupt run-on joining of the purpose and parameter instructions without a structural separator.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This tool sits among roughly 200 siblings including many get_r_asset_asset_* list tools, yet the description does not distinguish when to use it, what 'unquoted services' refers to (a Windows service-path concept), or how it relates to its _id sibling. The output schema is empty ({}), so it provides no return-shape relief, and with 0% schema coverage and no annotations the description should carry substantially more weight than two sentences.

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 does assign a role to each parameter bucket (path_params=route IDs, query=filters/pagination, headers=request headers), which is genuine added meaning. But it stops at the bucket level: it never names which route IDs, which filter keys, or how pagination is expressed, so the compensation is only partial.

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 opens with a clear verb+resource pair ('Retrieve asset unqouted services') and names the exact HTTP endpoint, so an agent knows the operation. It earns a 4 rather than 5 because it never explicitly differentiates this list tool from the sibling get_r_asset_asset_unqouted_services_id, and the domain term 'unqouted services' is left unexplained and contains a typo.

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 second sentence gives partial usage structure by directing route IDs to path_params, filters and pagination to query, and headers to headers. However, there is no when-to-use guidance versus the many sibling asset retrieval tools (e.g., the _id variant, installed drivers, ports), so an agent must infer selection from the name pattern 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?

Without annotations, the description carries the behavioral disclosure burden. It communicates that this is a read-only GET operation and mentions query filtering and pagination, which is useful. However, it does not disclose authentication requirements, pagination defaults, rate limits, or error behavior, leaving behavioral transparency only partially addressed.

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 with no filler: the first states the purpose, and the second maps the main parameter buckets. It is front-loaded and every phrase earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a simple generated GET-by-ID endpoint, especially since an output schema exists to cover the return value. However, it lacks concrete filter/pagination key names, auth context, and any note on required path ID format. Given the generic schema and absence of annotations, more detail would be needed for full invocation confidence.

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 does add meaning by mapping path_params to route IDs, query to filters/pagination, and headers to required request headers. However, it stops short of naming specific filter keys, pagination parameters, or header requirements, so compensation is only partial.

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 and resource: 'Retrieve asset unqouted service' and gives the exact endpoint `GET /r/asset/asset_unqouted_services/{id}`. It is specific enough to identify the operation, but it does not explicitly differentiate itself from the sibling list endpoint `get_r_asset_asset_unqouted_services`, so it misses 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 gives mechanical instructions about where to place parameters ('route IDs in path_params, filters and pagination in query'), but it does not say when to use this tool versus the sibling list variant or any alternative. No exclusions, prerequisites, or selection criteria are provided, so an agent has no guidance on choosing this 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 the full burden of behavioral disclosure. It only reveals that this is a GET/retrieve operation; it does not mention authentication needs, pagination behavior, error cases, or any side effects. This is minimal disclosure for an unannotated 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 compact and front-loaded: the purpose appears first, followed by concise parameter-placement guidance. It contains no filler, though the endpoint mention partly duplicates the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema exists, so return values need not be described. But with no annotations and fully generic parameters, the description leaves out important context: how this differs from the `_id` sibling, whether inputs are required, what the body is for, and what specific filters/pagination are supported. It is minimally viable but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema is entirely generic (open objects with 0% coverage), so the description must compensate. It does add some meaning by mapping `path_params` to route IDs, `query` to filters/pagination, and `headers` to request headers. However, it is vague and does not name concrete filters or explain the `body` parameter at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Retrieve asset user shares' along with the exact endpoint `GET /r/asset/asset_user_shares`. It is not a tautology and identifies the operation's scope. However, it does not explicitly differentiate this collection endpoint from the sibling `get_r_asset_asset_user_shares_id`, which is a meaningful gap.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives placement instructions ('route IDs in path_params, filters and pagination in query') but never says when to use this tool versus alternatives like `get_r_asset_asset_user_shares_id` or `get_r_asset_asset_shares`. No exclusions or selection criteria are provided, leaving usage context to inference.

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 must disclose behavior on its own. It clearly identifies the HTTP method (GET) and describes the operation as retrieval, implying read-only semantics. It does not mention error behavior or authorization requirements, though the output schema covers the return shape.

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 concise sentences: the first states the operation and endpoint, the second explains where to supply each parameter group. No filler or redundant content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, 0% schema coverage, and generic parameter containers, the description is too thin to support correct invocation. It tells the agent where to put parameters but not which specific path parameter or query filters are valid, so an agent cannot reliably construct a correct request despite the output schema being present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and all four parameters are generic objects with no property descriptions, so the description is the only source of parameter semantics. It usefully maps route IDs to path_params, filters/pagination to query, and headers to headers, but it never names the actual path parameter key or supported query filter fields, leaving significant room for inference.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Retrieve asset user share') and names the exact endpoint with an {id} placeholder, making it clear this fetches a single resource by ID. It does not explicitly contrast with the sibling list endpoint get_r_asset_asset_user_shares, so sibling differentiation is implied rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives concrete placement guidance: route IDs in path_params, filters and pagination in query, and required headers in headers. However, it does not explicitly say when to use this tool versus the list variant or other asset-related tools; the usage context is only implied by the '/{id}' suffix.

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 some behavioral burden. It identifies the operation as a GET, which implies a non-mutating read, and mentions 'required request headers,' hinting at authentication needs. However, it does not disclose rate limits, side effects, or what happens when required headers are absent, which limits 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 two sentences with no fluff. It front-loads the purpose, then gives the exact HTTP route and a compact mapping of the two most relevant parameter buckets. Every sentence adds usable 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 0% schema coverage and absent annotations, an agent cannot determine the exact names or formats of pagination parameters, filters, or required headers. Although an output schema exists, the request-side completeness is too vague for an agent to make a correct call without external documentation.

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?

Since schema description coverage is 0%, the description must compensate. It provides helpful direction by mapping path_params to route IDs, query to filters/pagination, and headers to required request headers. Yet it omits body semantics entirely and leaves specific accepted query keys and header names unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Retrieve asset video info' and names the exact endpoint 'GET /r/asset/asset_video_info'. It is clear enough that the agent knows what the tool does, but it does not distinguish itself from siblings like get_r_asset_asset_video_info_id or explain what 'video info' actually contains.

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 says how to invoke the endpoint ('Provide route IDs in path_params, filters and pagination in query, and any required request headers in headers') but gives no guidance about when to choose this tool over its siblings. There are no alternatives, prerequisites, or exclusions 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?

With no annotations, the description bears the full behavioral burden. It only states 'Retrieve' and the HTTP verb; it does not disclose authentication needs, rate limits, pagination behavior, or error semantics. The agent is left with no behavioral context beyond the implicit read-only GET.

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 concise sentences with the core purpose and endpoint first, then a clear directive on parameter placement. No unnecessary words or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The schema is extremely loose (0% coverage, all properties optional) and annotations are absent, so the description must supply the input contract. It gives high-level placement guidance but omits the meaning of {id}, any required query parameters, header requirements, or constraints. An agent would struggle to construct a valid request from this definition alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema is generic (all optional objects with additionalProperties), so the description's mapping of 'route IDs in path_params, filters and pagination in query, and any required request headers in headers' adds meaningful structure. However, it does not specify actual parameter names, formats, or which are required for this endpoint, so compensation is only partial.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Retrieve'), a specific resource ('asset video info'), and the exact endpoint with an {id} placeholder. This distinguishes it from the list variant get_r_asset_asset_video_info, though it does not 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?

The description gives placement guidance (path_params for IDs, query for filters/pagination, headers for required headers) but provides no when-to-use versus alternatives. An agent cannot tell why to pick this tool over the list sibling or other asset read 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?

No annotations are provided, so the description must disclose behavior on its own. It does so by naming the HTTP method `GET`, which clearly signals a read‑only operation, and it implies a listing/paginated behavior through the phrases 'filters and pagination'. However, it does not describe possible limits, default pagination size, or what happens when no route IDs are supplied, limiting transparency beyond the read-only hint.

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 short sentences that get straight to the point. It front-loads the core purpose, then provides the parameter-placement guidance in one compact second sentence. There is little verbosity, and every clause adds information needed to invoke the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that there are no annotations, no parameter descriptions in the schema, and the schema only defines open-ended objects, this description needs to explain what an 'asset view' is and what available filters, pagination formats, and required headers are. The description gives only a rough template ('route IDs', 'filters and pagination', 'required headers') without naming concrete route IDs, filter names, or header fields. An agent would need external documentation to safely call this endpoint with the correct parameters.

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 almost no semantic detail (properties are just open objects), and schema coverage is 0%. The description compensates by assigning meaning to the main parameter groups: `path_params` carry route IDs, `query` carries filters and pagination, and `headers` carries required request headers. It leaves `body` unmentioned and the actual filter/pagination names undefined, so the compensation is partial.

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 a specific verb ('Retrieve') and resource ('asset view') and names the exact endpoint (`GET /r/asset/asset_view`). It distinguishes the tool from unrelated siblings, though it does little to differentiate it from the very similar `get_r_asset_asset_view_id` tool, so it falls short of the level where the sibling confusion is fully resolved.

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 concrete placement guidance: route IDs go in `path_params`, filters/pagination go in `query`, and any required request headers go in `headers`. This helps an agent know _how_ to call the tool, but it does not explain _when_ to use it over the sibling `get_r_asset_asset_view_id` or other asset-scoped query tools. The usage context is implied rather than explicit.

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 the behavioral burden. It does disclose the HTTP method (GET) and the fact that filters/pagination are sent in query, signaling a read-style operation. It does not mention authentication requirements, error behavior, or pagination response semantics.

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 short sentences; the endpoint is front-loaded, and the parameter placement guidance follows immediately. No filler or repetition wastes tokens.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The exact endpoint and top-level container roles provide enough to make a first call, and the output schema covers returns. But the description omits required header specifics, concrete filter/pagination parameter names, and explicit differentiation from the collection sibling. For a generic REST wrapper, this is adequate but not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description is the only source of parameter meaning. It maps the generic `path_params`, `query`, and `headers` containers to concrete roles (IDs, filters/pagination, headers). It does not enumerate specific query parameter names nor the `body` container, leaving some ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Retrieve asset view') and the exact REST call `GET /r/asset/asset_view/{id}`. The `_id` suffix and `{id}` path variable imply this is the by-ID variant of `get_r_asset_asset_view`, though it does not 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?

It tells the agent where to place route IDs, query filters/pagination, and headers, which is useful invocation guidance. However, it never states when to choose this tool over the sibling `get_r_asset_asset_view` or any other list endpoint. The intended use (fetching by ID) is only implied.

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 the HTTP method (GET) and endpoint, which implies a read-only operation, but it does not disclose pagination behavior, response format, required authentication, or any side effects. The description is minimal and leaves the agent to infer behavior from the endpoint name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is reasonably concise and front-loads the core action. It includes the endpoint and parameter placement without excessive verbosity. However, it is terse to the point of being generic.

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 annotations, no parameter details, and a large sibling list, the description is incomplete. It does not explain what 'windows reboot required' data contains, how to identify the correct route IDs, or how this differs from the _id variant. An agent would struggle to call this correctly without external knowledge.

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 schema parameters are generic (body, query, headers, path_params) with no property details. The description adds only that route IDs go in path_params, filters/pagination in query, and headers in headers. This is a generic template that does not explain what specific route IDs, filters, or headers are needed for this endpoint.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Retrieve asset windows reboot required' and names the exact endpoint. It is clear this is a read operation for Windows reboot-required asset data. However, it does not explicitly differentiate from the sibling get_r_asset_asset_windows_reboot_required_id, which is a closely related tool.

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 the sibling _id variant or any other filtering/selection criteria. The only usage hint is generic: provide route IDs, filters, pagination, and headers, which is not tool-specific.

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 must convey behavioral traits. It states the HTTP method GET, implying a read-only operation, but does not explicitly disclose safety, authentication requirements, or error behavior. The mention of 'any required request headers' is vague and does not specify which headers are needed.

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?

Single sentence plus endpoint reference, front-loaded with the action and resource. No unnecessary words, directly states the call and parameter locations.

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?

Output schema exists, so return values are covered. The description provides endpoint and parameter placement, but lacks explicit usage distinctions from the list endpoint and does not mention required authentication or error handling. For a simple GET by ID, it is adequate but not exhaustive.

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 has 0% description coverage, so description must clarify parameter usage. It explains that path_params should contain route IDs, query for filters and pagination, and headers for request headers. This compensates for the generic schema objects, though it does not enumerate specific filter or pagination 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?

States the specific verb 'Retrieve' with a clear resource 'asset window reboot required' and indicates a single item by ID via the endpoint with {id}. The _id suffix in the tool name and path clearly distinguish it from the list sibling get_r_asset_asset_windows_reboot_required, which presumably retrieves all records.

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?

Does not explicitly mention when to use this versus the list sibling. However, the instruction to provide route IDs in path_params implies a targeted retrieval, and the endpoint with {id} differentiates it from the list endpoint. It does not name alternatives or exclusions, so guidance is implied rather than explicit.

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 of behavioral disclosure. It only says 'Retrieve', which hints at read-only, but doesn't mention permissions, rate limits, side effects, or pagination behavior. It also doesn't clarify whether the query's pagination params are required or optional.

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 brief and to the point, with no fluff. The endpoint and parameter placement are front-loaded in two sentences. It loses a point because the second sentence is a run-on that crams multiple instructions together, but overall it's efficient.

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?

While an output schema exists (which covers return values), the description lacks essential context: no explanation of what bios info actually represents, no prerequisites, no error conditions, and no hints about required vs optional parameters beyond generic categories. For a GET endpoint with zero annotations and a generic schema, this is thin.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema is completely generic (all objects with no properties, 0% coverage). The description adds meaning by mapping `path_params` to route IDs, `query` to filters/pagination, and `headers` to required request headers. However, it doesn't specify exact parameter names or formats, leaving significant ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action ('Retrieve bios info') and provides the concrete HTTP endpoint (`GET /r/asset/bios_info`), which distinguishes it from sibling tools like `get_r_asset_bios_info_id`. The verb and resource are specific, though it doesn't elaborate on what bios info contains.

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 only tells how to construct the request (path_params, query, headers) but gives no guidance on when to use this tool versus alternatives, such as when to prefer this over `get_r_asset_bios_info_id`. There are no conditions, exclusions, or context for choosing this endpoint.

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 indicates a read operation ('Retrieve') but does not mention safety, permissions, rate limits, pagination behavior, or error handling. It does not clarify what the response contains, even though an output schema exists. This is a significant gap 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 two sentences, front-loaded with the endpoint and resource, followed by parameter placement guidance. There is no fluff, and it is appropriately sized for a simple read operation. It wastes no words and conveys the essentials clearly.

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 read tool with an output schema, the description is incomplete. It does not explain what the response contains, what the ID format is, what filters or pagination parameters are supported, or how errors are signaled. It also misses the distinction from the list endpoint. Given the generic schema and lack of annotations, this description leaves too much for the agent to infer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema is generic (objects with additionalProperties) and has 0% description coverage, meaning the description must compensate. It does provide high-level guidance: 'route IDs in path_params, filters and pagination in query, and any required request headers in headers.' This adds meaning beyond the schema's empty object types, but it lacks specificity about actual parameter names or allowed values. It gives a minimal map of what goes where, which is helpful but 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 states a specific verb ('Retrieve') and resource ('bio info') along with the exact endpoint `GET /r/asset/bios_info/{id}`. The presence of `{id}` clearly indicates a single-resource fetch and differentiates it from the sibling `get_r_asset_bios_info` (which is likely the list variant). However, it doesn't explicitly say 'by ID' or 'specific asset', but the endpoint makes it clear enough.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives like `get_r_asset_bios_info`. It does not state that this is for fetching a single record by ID, nor does it mention any prerequisites or scenarios where it should be preferred. The description only explains how to call it, not when.

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 a heavier disclosure burden. It does explicitly signal a read operation via 'Retrieve' and 'GET', and mentions pagination, which is useful. However, it omits auth requirements, response behavior, error cases, and the meaning of route IDs for a collection endpoint, so transparency is only partial.

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 the core operation front-loaded. The endpoint reference is somewhat redundant with the tool name, and 'any required request headers in headers' is tautological, but there is no padding.

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 generic REST wrapper with no annotations and low schema coverage, the description lacks enough detail to invoke it confidently: it does not clarify which route IDs apply, what filters are supported, how pagination is expressed, or what the body parameter means. An output schema exists, so return format is covered, but the calling contract is under-specified.

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 adds some meaning by mapping path_params to route IDs, query to filters/pagination, and headers to request headers. But it ignores the body parameter entirely and provides no concrete filter names, header names, or route ID details, so the compensation is 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 opens with 'Retrieve browser extensions', a clear verb and resource, and reinforces it with the exact GET endpoint. It is distinguishable from the sibling get_r_asset_browser_extensions_id by the plural resource, though it never explicitly says 'list all' or contrasts with the ID variant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It tells the agent where to place path_params, query, and headers, but gives no guidance on when to choose this tool over the many sibling asset/report tools. No exclusions or alternative tool mentions are present.

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 supplied, so the description must carry full behavioral disclosure. It does imply a read-only GET, but it does not mention authentication, how to identify the required ID, possible failure behaviors, or the meaning of the plural 'route IDs' on a single-ID path.

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 short sentences with no filler. The parameter-placement sentence earns its place, though the phrase 'Calls GET ...' is a slightly awkward restatement of the endpoint.

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 GET-by-ID tool, the description is thin. It does not say what a browser extension is, whether the ID is required, what 'filters and pagination' mean for an item lookup, or which header names are expected. The output schema fills some gaps, but the invocation context remains under-specified.

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 schema description coverage at 0%, the description needs to compensate but only maps generic parameter categories: IDs in path_params, filters/pagination in query, headers in headers. It never gives the actual path parameter name like `id`, nor any concrete filter or pagination field names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete resource (browser extension) and a specific operation (Retrieve), and includes the full endpoint path with `{id}`. It does not explicitly name the sibling list endpoint, but the `_id` suffix and path variable make the single-item intent clear enough.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool instead of a sibling such as get_r_asset_browser_extensions. The second sentence only explains where to place parameters, not how to choose this tool among the many similar GET endpoints.

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 discloses the HTTP method and endpoint, but does not mention read-only behavior, required authentication, rate limits, or what the response contains. For a GET endpoint the read-only nature is implied but not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence that front-loads the action and endpoint, then maps the generic parameter categories. It is efficient, though it could be slightly more structured with explicit parameter guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the open-ended schema (all additionalProperties, no required params, 0% coverage) and no annotations, the description is under-specified. It does not explain what a 'ciphers view' contains, what filters are available, what pagination parameters look like, or what the output schema represents. The output schema exists but the description still leaves too much to inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.