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find_related

Find semantically similar code chunks by providing a file path and line number from a search result. Use after locating a promising code area to discover related implementations.

Instructions

Find code chunks semantically similar to a known file and one-based line.

Use this after search returns a promising location. Pass the file path exactly as it appears in a result and a line inside that chunk. Results include formatted text for context injection and structured fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesRepository-relative file path exactly as shown in a search result.
limitNoMaximum number of related chunks to return.
lineYesOne-based line number inside the known chunk.
profileNoSaved profile to use for source defaults.
sourceNoGit URL or local path. Omit only when the server has a default source.
Behavior3/5

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

No annotations provided, so description carries full burden. It describes the tool as returning semantically similar chunks with formatted text and structured fields, but does not explicitly state it is a read-only operation or any side effects. Adequate but could be improved.

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 sentences plus a usage guideline sentence. Every sentence adds value, no wasted words. Front-loaded with purpose.

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

Completeness4/5

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

Given 5 parameters and no output schema, the description explains what the tool does and what results contain (formatted text and structured fields). It lacks details on the structured fields' structure, but is sufficient for agent to use.

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 adds minimal extra meaning beyond the schema: it re-emphasizes passing the file path exactly as shown and one-based line, which are already in parameter descriptions.

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 it finds semantically similar code chunks given a file and line, and distinguishes from the sibling tool 'search' by specifying it should be used after search returns a location.

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

Usage Guidelines4/5

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

Explicitly says when to use the tool ('after search returns a promising location') and provides instructions on parameter usage (exact file path, one-based line). However, it does not mention when not to use it or alternatives.

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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