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

With no annotations, the description carries the full burden. It does add one real behavioral fact — only *published* listings are returned — which implies a read-only, scoped retrieval. But it says nothing about ranking/relevance ordering, whether matching is substring or tokenized, pagination behavior, or what an empty result looks like.

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?

A single well-formed sentence with no filler, and the resource scope is front-loaded. It earns nearly every word, though it leaves little room for the usage and result-shape guidance an agent would want.

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

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

There is no output schema and no annotations, so the description is the only place to learn what comes back. It covers what is searched but not the result shape (summaries? full listings?), relevance ordering, or the limit cap's effect — meaningful gaps for a directory search 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 67%: query and type are documented in-schema, while limit has only default/min/max constraints. The description's mention of name/tagline/description largely restates the query field description, and listing the three content types adds little over the enum. Baseline 3 is appropriate.

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

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

States a specific verb (search) and a specific resource (published AI agents, MCP servers, skills in the directory) and names the fields matched. It's clear what the tool does, but it doesn't differentiate itself from siblings like discover, find_alternatives, or trending that could plausibly be used for similar lookup intents.

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 only implied — the word 'search' plus a required free-text query signals keyword lookup as opposed to browsing. There's no explicit guidance on when to pick this over discover, find_alternatives, trending, or new_launches, and no exclusions are stated.

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