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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-style lookup over four fields but discloses nothing about match semantics (fuzzy vs exact), result caps, ordering, or return shape. The field list gives some scoping context but leaves the operation's behavior largely opaque.

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?

One short sentence with zero filler, and the resource and searched fields are front-loaded. Nothing could be trimmed without losing 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?

With no annotations, no output schema, and an undescribed parameter, the description should say more about matching behavior and what results look like. It covers only the scope of fields searched, leaving the agent to guess at the rest.

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% for the single "query" parameter, so the schema adds no semantics. The description partially compensates by naming the fields the query is matched against, which is real added meaning, but says nothing about syntax, operators, or multi-term handling.

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 resource ("agent") plus the fields searched (titles, problems, tags, prompts). This implicitly distinguishes it from the read-oriented siblings get_agent and list_agents, though it never names 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?

There is no guidance on when to search versus using get_agent or list_agents, and no mention of prerequisites or result limits. The agent must infer the choice from the sibling names alone.

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