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get_call_graph

Retrieve the call graph for any function in the repository, showing both callees and callers across files.

Instructions

Get what a function calls and what calls it across the repo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYespath relative to the repo root (e.g., "src/main.py" or "calculator.py")
function_nameYesname of the function to inspect

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It does not mention whether the call graph is static or dynamic, whether it includes transitive calls, performance implications, or any side effects. The description is too minimal.

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?

The description is a single sentence with no unnecessary words. It is front-loaded with the action and resource. However, it could be slightly expanded without becoming verbose, hence not a perfect 5.

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?

The presence of an output schema reduces the need to describe return values. However, the description lacks context about the scope (e.g., entire repo, all depths) and whether the graph is immediate or transitive. It is adequate but leaves questions.

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 description coverage is 100%, so the baseline is 3. The description restates the parameter names (file_path, function_name) but adds no additional semantics beyond the schema definitions. It meets the minimum but does not enhance understanding.

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 the tool retrieves both outgoing calls (what a function calls) and incoming calls (what calls it) across the repo, using specific verbs and resource. It distinguishes from siblings like find_references (which likely only finds usages) and get_dependency_graph (broader scope).

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no when-not-to-use notes. Given 21 sibling tools, the lack of usage context is a significant gap.

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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