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

Annotations already declare readOnly, idempotent, non-destructive and openWorld=false, so the safety profile is covered. The description adds the useful detail that identification can happen by slug or by name, but says nothing about how candidates are ranked, how many come back, or what 'similar' means operationally.

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 front-loaded sentence with the core action first and the qualifier in parentheses. Every clause adds information; there is no filler 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 an 8-parameter discovery tool with no output schema and zero required parameters, the description covers the intent but omits how filters combine, what the default limit is, and what the result set looks like. Adequate to start a call, but not enough to predict the response.

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 75%, so most parameters are self-documenting and the baseline is 3. The description restates the filter axes (format/OS/price) without adding syntax, defaults, or interaction rules, and never mentions limit, type, or free_only, so it does not compensate for the remaining 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?

States a specific verb and resource ('find similar or alternative plugins') anchored to an input plugin identified by slug or name, which is more informative than the bare name. It does not explicitly distinguish itself from search_plugins or get_plugin, so the agent must infer that this is the similarity/recommendation path rather than a generic query.

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 phrasing 'to a given plugin' implies the precondition that the caller already has a plugin in hand, which is genuine usage context. However, no alternative tool is named, no when-not condition is given, and nothing says what to do when the slug is unknown versus when the name is ambiguous.

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