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

No annotations are provided, and the description only states the action without revealing any behavioral details such as pagination, type filtering, sort options, default behavior, or error handling. This leaves the agent without information about how the tool behaves beyond its basic purpose.

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

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

The description is a single, direct sentence with no redundant words, making it concise and easy to parse.

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

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

With five parameters and no output schema or annotations, the one-sentence description is insufficient. It fails to clarify how optional parameters like type or sort function, what the response structure looks like, or how pagination works, leaving significant gaps 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%, and the description only references 'id' while ignoring page, sort, type, and per_page. The agent cannot infer the meaning or effect of these parameters from the description, which is especially problematic given enums exist for sort and type.

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 the specific verb 'Retrieve' and names the resource 'photos and videos within a Pexels collection', clearly distinguishing it from sibling tools like pexels_search_photos or pexels_get_photo by focusing on collection membership.

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

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

The description implies usage when a collection ID is known and you want its media, but provides no explicit guidance on when to prefer this over alternatives or any exclusions. It does not mention that collection metadata is available via sibling tools like pexels_my_collections.

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 only mentions fetching a list, but does not disclose return format, ordering, pagination behavior, potential errors, or any access limitations. The term 'real-time' is unexplained, adding ambiguity rather than clarity.

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

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

The description is a single, clear sentence with no redundant wording and the verb-resource structure is front-loaded. It is appropriately concise for a simple tool, though it sacrifices crucial detail. This brevity earns a high score on conciseness alone, independent of completeness.

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

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

Given two parameters, no annotations, and no output schema, the description is far too sparse. It does not explain pagination semantics, what the user will receive, or how this tool fits into the broader API. The agent lacks enough information to invoke the tool 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 input schema has two parameters (page, per_page) with zero description coverage. The tool description does not mention them at all, so their purpose and meaning are completely undocumented. An agent cannot infer what these parameters do beyond their basic type and constraints, making the tool effectively unusable 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 clearly states the action ('Fetch') and the specific resource ('a real-time list of photos curated by the Pexels team'), which distinguishes it from search or single-photo tools. The term 'curated by the Pexels team' further differentiates it from user-query-based searches. A slight ambiguity in 'real-time' prevents a perfect score.

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

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

The description provides no explicit guidance on when to use this tool versus siblings like pexels_search_photos or pexels_get_photo. It implies a browsing use case but lacks any mention of alternatives, exclusions, or context for when this tool is preferred. The agent is left to infer usage.

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

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

With no annotations, the description must disclose behavioral traits. It only states 'List featured collections', which implies a read operation but provides no details on pagination defaults, response structure, authentication requirements, or rate limits. This is minimal disclosure.

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

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

The description is a single, front-loaded sentence with no filler or redundancy. It efficiently conveys the core function in five 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 absence of an output schema and annotations, the description is too sparse. It does not mention likely return values, pagination behavior, or any prerequisites. For a simple listing tool, more context is needed to fully understand expected results.

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

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

Schema description coverage is 0%, and the description does not compensate by explaining the 'page' and 'per_page' parameters. Although the schema includes constraints and names are self-explanatory, the description adds no meaning beyond the schema.

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

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

The description uses a clear verb ('List') and specifies the resource ('featured collections on Pexels'). It differentiates from siblings like 'my_collections' by the word 'featured', but does not explicitly contrast with alternatives.

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

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

No guidance is provided on when to use this tool versus alternatives such as pexels_my_collections or pexels_collection_media. The context is implied by the tool name, but there are no explicit use cases 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 carries the full burden of behavioral disclosure. It only states the basic retrieval action and provides no details about rate limits, authentication, error cases (e.g., photo not found), or the structure of the returned object. This is a minimal description without any 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 a single sentence, front-loaded with the core purpose. Every word is necessary and there is no fluff or redundancy.

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

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

For a simple tool with one parameter and no output schema, the description is sufficient to convey the core operation. However, it omits any mention of return value format, possible error responses, or prerequisites. While the simplicity lowers the burden, a brief note about expected output would improve completeness.

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

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

The description mentions 'by its id', which links the single parameter to the photo's identifier, adding some semantic meaning beyond the schema's bare 'id' property. However, the schema already defines `id` as an integer with a minimum of 1, and the description does not elaborate on formats, units, or usage details. It provides slight clarification but does not fully compensate for the 0% schema_description_coverage.

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

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

The description 'Retrieve a single Pexels photo by its id' uses a specific verb (retrieve) and resource (single Pexels photo) with a clear access method (by id). It distinguishes itself from sibling tools like search or curated photos, which involve listing or querying.

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

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

No guidance is provided on when to use this tool versus alternatives. While it implies direct retrieval by ID (versus searching), there is no explicit 'use this when you have an ID' or mention of when not to use it. The description offers no exclusions or context.

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

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. The verb 'retrieve' implies a read-only operation, but the description does not mention potential errors (e.g., invalid ID, 404), rate limits, or what the response contains. It lacks the detailed context expected for a tool with no annotation support.

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

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

The description is a single, concise sentence that immediately communicates the tool's purpose. It contains no redundant jargon or filler, earning a top score for efficiency.

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

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

For a simple 1-parameter retrieval tool, the description is largely complete. It specifies the action and the parameter. It does not describe the return value or error behavior, but given the tool's simplicity and the presence of sibling tools for search/listing, this is a minor gap. The description provides enough context for basic usage.

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

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

With 0% schema description coverage, the description must compensate for parameter meaning. It does mention 'by its id', linking the sole parameter to the video identifier. However, this adds minimal value beyond the parameter name 'id' already in the schema. It does not elaborate on expected formats or edge cases, but for a single simple parameter, this is adequate.

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 'Retrieve a single Pexels video by its id' clearly states the verb (retrieve), the resource (Pexels video), and the specific scope (by its id). It distinguishes itself from sibling tools like pexels_search_videos and pexels_popular_videos, which are for searching or listing videos, while this one fetches a specific item.

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?

Usage is implied: the description indicates this tool is for retrieving a single video by ID, which implies it should be used when a specific Pexels video ID is known. However, it does not explicitly state when not to use it or mention alternatives, such as using search_videos to find IDs first. The guidance is minimal and left implicit.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clarifies that only the authenticated user's own collections are returned, implying an auth requirement and read-only nature. However, it does not disclose error cases, rate limits, or pagination behavior beyond what the schema hints at.

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

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

The description is a single concise sentence, front-loaded with the action ('List') and scope ('authenticated user's own'), with no filler words. It is appropriately minimal for a straightforward list operation.

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

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

Given the absence of annotations, an output schema, and any parameter descriptions, the description is minimal. It explains the core function but not the structure of returned collections, pagination behavior, or special cases, leaving significant gaps for an agent preparing to 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%; the description does not mention the 'page' or 'per_page' parameters at all. While the parameter names are conventional, the description adds no semantic meaning to the schema, leaving the agent to guess about pagination defaults and behavior.

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 ('List') and resource ('authenticated user's own Pexels collections'), clearly distinguishing it from sibling tools like pexels_featured_collections and pexels_collection_media. The scope is unambiguous and directly tied to the tool 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 implies usage for retrieving the user's personal collections, but it does not explicitly contrast it with alternatives such as featured collections or mention when not to use this tool. The context is clear but guidance on alternatives is only implicit via the sibling names.

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. The term 'Fetch' implies a read-only operation, but no other behavioral context is given—such as pagination defaults, rate limits, or whether the result is a list or single item. For a read operation, this is minimal but not enough.

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, front-loaded sentence that is concise and grammatically clear. However, its brevity borders on under-specification—every word earns its place, but the tool clearly needs more 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 6 optional parameters, no output schema, and no annotations, a one-line description is wholly inadequate. The agent cannot infer the return structure, default values, or filtering behavior, making effective invocation nearly impossible.

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% (none of the 6 parameters are described in the schema) and the description adds no parameter information whatsoever. The agent has no idea what 'page', 'per_page', 'min_width', etc., do or how they relate to 'popular' videos.

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 'Fetch' and the resource 'current popular Pexels videos', which is specific enough to understand the tool's core function. However, it does not differentiate itself from siblings like pexels_search_videos or pexels_get_video, leaving room for ambiguity.

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

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

There is zero guidance on when to use this tool versus the sibling search/get tools. No mention of ideal use cases, alternatives, or exclusions, so the agent is left uninformed about selection.

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

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

With no annotations, the description must fully disclose behavior, but it only states that it searches photos with optional filters. It does not mention pagination, response format, rate limits, or that it is a read-only operation. The description adds minimal value 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 a single, front-loaded sentence with no wasted words. It effectively communicates the core function in minimal space, making it concise and well-structured.

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

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

For a search tool with 7 parameters, no annotations, and no output schema, this description is insufficient. It does not cover pagination, response structure, or filter interactions, leaving the agent without essential information for correct invocation. The description is too sparse for the tool's complexity.

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

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

The schema has 0% description coverage, so the description must compensate by explaining parameters. It mentions 'query' and 'optional filters' but does not explain any of the six filter parameters (size, color, orientation, locale, page, per_page). The enums are self-explanatory, but the meaning of page/per_page and how filters interact is left unclear.

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 'Search Pexels photos by query with optional filters' clearly identifies the action (search), the resource (Pexels photos), and the scope (query with filters). This distinguishes it from sibling tools like pexels_search_videos and pexels_curated_photos, as the verb 'search' and the resource 'photos' are explicit and 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 implies the tool should be used when querying for photos with optional filters, but it does not explicitly state when to prefer this over alternatives like pexels_curated_photos or pexels_get_photo. It provides clear context ('by query') but lacks explicit exclusions or mention of alternative 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, the description must disclose behavioral traits. It only states 'Search... with optional filters' and offers no details about pagination, result structure, rate limits, or side effects. This leaves the agent largely uninformed about operational characteristics.

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

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

The description is a single concise sentence that front-loads the action and object. It is appropriately brief, though it sacrifices detail for brevity.

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

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

For a tool with 6 parameters, no output schema, and no annotations, the description is severely incomplete. It doesn't explain return values, pagination behavior, or how filters work, making it insufficient 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 merely mentions 'query' and 'filters' without explaining any of the six parameters, adding no meaning beyond the schema's field names and types.

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 ('Search') and resource ('Pexels videos') with a clear qualifier ('by query'), clearly distinguishing it from sibling tools like pexels_get_video and pexels_search_photos. It effectively communicates the tool's primary function.

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

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

The description implies this tool is for query-based searches but doesn't explicitly contrast it with pexels_popular_videos or pexels_get_video. No exclusions or alternative recommendations are provided, so usage guidance is only implied.

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