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search_sessions

Search past session conversations to find what was discussed, decided, or debugged previously using full-text search with stemming.

Instructions

Search across all past session conversations. Finds what was discussed, decided, or debugged in previous sessions. Full-text search with porter stemming — e.g., "why did we switch to GraphQL", "auth middleware bug", "database migration approach".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (FTS5 with porter stemming)
limitNoMax results (default: 20)
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose the search behavior ('Full-text search with porter stemming') and provides example queries, but doesn't mention important behavioral aspects like whether results are paginated, what format they return, or any rate limits or authentication requirements.

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?

The description is perfectly concise with three sentences that each earn their place: stating the purpose, explaining what it finds, and detailing the search behavior with examples. It's front-loaded with the core purpose and wastes no words.

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?

For a search tool with no annotations and no output schema, the description provides adequate purpose and usage context but lacks information about return format, result structure, or error conditions. Given the complexity of search operations and the absence of output schema, more completeness would be beneficial.

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?

The schema description coverage is 100%, so the schema already fully documents both parameters. The description adds some context about the query parameter ('Full-text search with porter stemming' and example queries) but doesn't provide additional semantic meaning beyond what's in the schema 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 the tool's purpose with specific verbs ('search across all past session conversations') and resources ('session conversations'), and distinguishes it from siblings by specifying it's for full-text search of past sessions rather than other types of searches or session operations listed among siblings.

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?

The description provides clear context about when to use this tool ('Search across all past session conversations') and gives concrete examples of search queries, but doesn't explicitly state when not to use it or name specific alternative tools from the sibling list for different search needs.

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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