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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions semantic search over fetched documentation, but does not clarify prerequisites, result count, ranking behavior, or whether an initial fetch is required, leaving significant behavioral gaps.

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 short and front-loads the core action and source. The second sentence adds little beyond the first but is not harmful.

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 one-parameter search tool with no annotations or output schema, the description covers the basic purpose but omits prerequisites and return behavior. It is minimally adequate but not complete.

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 coverage is 100% for the single query parameter, so the schema already defines its meaning. The description adds that search is semantic, but does not provide query syntax, expected format, or examples.

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 states a specific verb and resource: semantically search within fetched documentation from a named GitHub repository. It distinguishes itself from siblings like search_rea_ghidra_code by specifying documentation rather than code, though it does not explicitly name the alternative tools.

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?

It says 'Useful for specific queries,' which implies a usage context but gives no explicit when-to-use versus when-not-to-use guidance. It does not say whether the documentation must already be fetched, or how this differs from fetch_rea_ghidra_docs or search_rea_ghidra_code.

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