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search_rea_ghidra_code

Search for code within the GitHub repository: "ethanhunt1981/rea-ghidra-toolkit" using the GitHub Search API (exact match). Returns matching files for you to query further if relevant.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number to retrieve (starting from 1). Each page contains 30 results.
queryYesThe search query to find relevant code files

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It conveys exact-match behavior and that results are file references, but omits GitHub Search API's rate limits and any authentication expectations — material facts for a search endpoint that can be throttled.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the resource and scope, zero filler. The repository name consumes some space but is necessary disambiguation.

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

Completeness3/5

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

With no output schema and no annotations, the description must carry return-shape and constraint information; it says only 'returns matching files'. Adequate for a two-parameter read tool, but the absence of rate-limit and result-count context leaves real gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description's only added semantic is 'exact match' for the query, which is genuinely useful (query syntax is a common failure point), but paging and query format are otherwise left entirely to the schema.

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

Purpose4/5

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

States a specific verb+resource (search code) scoped to a named repository, plus the mechanism (GitHub Search API, exact match). Siblings differ by resource type (code vs. docs), but the description never names or contrasts them explicitly, so differentiation is left implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The trailing clause 'Returns matching files for you to query further if relevant' hints at the intended workflow (search then fetch), but there is no explicit statement of when to choose this over search_rea_ghidra_docs or fetch_rea_ghidra_docs.

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

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