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list_stdlib_modules

Read-onlyIdempotent

List PerfettoSQL stdlib modules with domain, views, and usage details. Filter by domain or query to find the correct INCLUDE PERFETTO MODULE target.

Instructions

List curated PerfettoSQL stdlib modules as JSON entries with domain, module, views, description, and usage. Use when choosing an INCLUDE PERFETTO MODULE ... target; no trace has to be loaded.

Optional filters: domain (chrome, android, generic), query (case-insensitive search over module/view/description), and limit. For longer guidance, read resource://perfetto-mcp/stdlib-quickref.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoOptional domain filter. Valid values: "chrome", "android", "generic".
limitNoOptional max entries to return. Must be > 0 when set; accepts both numbers and numeric strings.
queryNoOptional case-insensitive search over module name, view names, and description.
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. Description adds important context: no trace required, result format (JSON with fields), and optional filters. No contradictions.

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 precise sentences. First sentence states core function and output. Second sentence adds usage context and optional filters. No redundant information.

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?

No output schema, but description explains output format. Covers optional filters and points to a resource for longer guidance. Adequate for selection and invocation.

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

Parameters4/5

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

Schema description coverage is 100%, and the description enhances each parameter: valid domain values, case-insensitive search scope for query, and constraint for limit. Provides meaning beyond bare schema.

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?

Description clearly states the tool lists curated PerfettoSQL stdlib modules with specific fields, and its purpose is for choosing an INCLUDE PERFETTO MODULE target. It distinguishes from siblings which are specific analysis tools.

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 (choosing INCLUDE PERFETTO MODULE target) and notes that no trace needs to be loaded. Optional filters are mentioned, but no explicit alternatives or when-not-to-use are provided.

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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