pexels_curated_photos

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.