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umuterdal

Blindspot MCP

by umuterdal

search_code

Search code files for text patterns with options for case sensitivity, fuzzy matching, regex, and context lines. Use as a fallback when symbol and context tools don't find what you need.

Instructions

Fallback text search. Use this only when get_context and symbol tools are not enough.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternYes
case_sensitiveNo
context_linesNo
file_patternNo
fuzzyNo
regexNo
start_indexNo
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations exist, so description must carry transparency. It says 'text search' but gives no details on behavior (e.g., search scope, output format, side effects). An output schema exists but not described.

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

Conciseness5/5

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

Two concise sentences, each serving a purpose: stating functionality and providing usage condition. No unnecessary words.

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

Completeness2/5

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

For a tool with 8 parameters and no schema descriptions, the description lacks essential details about how to use parameters and what results look like, relying solely on output schema (not explained).

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

Parameters1/5

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

Schema description coverage is 0%. The description does not explain any of the 8 parameters (pattern, case_sensitive, context_lines, etc.), leaving agents without guidance on values or defaults.

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

Purpose5/5

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

The description clearly states 'Fallback text search' and specifies when to use it ('only when get_context and symbol tools are not enough'), distinguishing it from sibling tools.

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

Usage Guidelines5/5

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

Explicitly says to use as a fallback after other tools, providing clear guidance on when and when not to use it.

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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