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gograph_concurrency

Read-onlyIdempotent

Find concurrency sites in Go code: goroutine spawns, channel sends, and sync.Mutex/WaitGroup/Once calls. Use optional term filter for race audits or async flow understanding.

Instructions

Find indexed concurrency sites in the codebase: goroutine spawns (go statements), channel sends, and calls on sync.Mutex/RWMutex, sync.WaitGroup, and sync.Once. The MCP server checks freshness before this call and refreshes in the current requested analysis mode; precise and precise_fallback graphs retry CHA/SSA after source changes. Read-only; no side effects. Optional term filter (e.g., "mutex", "goroutine", "channel"). WHEN TO USE: When auditing race safety, understanding async flow, or locating synchronization points before a concurrency refactor. NOT TO USE: For standard sequential call flow analysis (use gograph_callers/gograph_callees). RETURNS: File locations, line numbers, and primitive kind for each indexed concurrency site; empty when no sites are found. Channel receives and select statements are not indexed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termNoOptional filter term (e.g., 'goroutine', 'mutex', 'channel')
Behavior5/5

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

The description goes well beyond annotations by disclosing freshness/refresh behavior (server checks freshness, retries CHA/SSA in precise modes), defining what is not indexed (channel receives/select), and confirming read-only semantics. This is valuable context not available in annotations.

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 well-structured with labeled sections and every sentence contributes meaning. It is slightly verbose in the freshness mechanics, but still appropriately sized and front-loaded with the primary purpose.

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

Completeness5/5

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

With no output schema, the description explains return values (file locations, line numbers, primitive kind) and empty behavior. It also covers exclusions and refresh behavior, making it highly complete for a tool with only one optional parameter.

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% for the sole 'term' parameter, and the description repeats the same examples given in the schema. It adds no new semantic meaning beyond the schema, placing it at the baseline for adequate coverage.

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 identifies 'indexed concurrency sites' and enumerates specific resource types (goroutine spawns, channel sends, sync calls). It distinguishes from siblings by explicitly noting sequential flow analysis should use gograph_callers/gograph_callees.

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?

Explicit 'WHEN TO USE' and 'NOT TO USE' sections provide clear conditions (e.g., auditing race safety, async flow, synchronization points) and direct the agent to alternatives for sequential analysis. This is ideal guidance.

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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