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search_episodes

Search episode transcripts instantly using BM25-ranked full-text search. Returns highlighted snippets with episode metadata, with optional field restriction.

Instructions

Fast, bm25-ranked full-text search over the LOCAL archive of episode transcripts (the indexed .md corpus). Prefer this over search_transcripts for general questions — it's instant, offline, and ranked, and it returns highlighted snippets with episode metadata. Optionally restrict to a field: 'transcript' (default scope is all), 'news' (news-item titles), or 'title'. Falls back with a note if the index hasn't been built yet (run npm run setup or npm run fetch && npm run index).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query. Supports MediaWiki/SQLite FTS syntax: phrases in quotes, AND/OR, prefix*
limitNoMax results (default 10)
fieldNoRestrict search to one field
Behavior4/5

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

No annotations provided, but description discloses return of 'highlighted snippets with episode metadata', offline nature, and fallback if index missing. No contradictory or missing behavioral info.

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 dense sentences: front-loaded with key purpose and comparison, then details on parameters and fallback. No extraneous words.

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?

Given no output schema, description adequately covers return type (snippets, metadata). Explains parameters, fallback behavior, and differentiation from sibling. Complete for a search tool.

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 covers all parameters, but description adds value by explaining query syntax (MediaWiki/SQLite FTS), default scope, and purpose of 'field' enum values. Extra detail beyond 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?

The description clearly states it performs 'bm25-ranked full-text search' over the 'LOCAL archive of episode transcripts'. It distinguishes from the sibling 'search_transcripts' by noting it's 'instant, offline, and ranked'.

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 advises to 'Prefer this over search_transcripts for general questions' and explains why. Does not enumerate all exclusions but provides clear context on when to use.

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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