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Search Talonic Workspace

talonic_search

Search your Talonic workspace with natural-language queries to find documents, fields, sources, or schemas. Returns ranked results across all entity types in one call.

Instructions

Search the user's Talonic workspace for documents, fields, sources, or schemas matching a query. Returns ranked results across all entity types in one call.

USE WHEN:

  • The user wants to find documents but does not know the exact filename or id.

  • The query is conceptual ('contracts mentioning indemnification', 'Acme invoices').

  • You need to narrow a large workspace before calling talonic_extract or talonic_filter.

  • The user asks 'do I have any docs about X' or 'find anything related to X'.

DO NOT USE WHEN:

  • The user has a specific document_id (use talonic_get_document instead).

  • The user wants to apply structured field-value filters like 'amount > 1000' (use talonic_filter).

  • The user wants to extract data from a brand-new document (use talonic_extract).

TIP: The result includes documents, fieldMatches, sources, schemas, and fields. Pick the entity type the user actually needs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural-language search query, e.g. 'indemnification clauses' or 'Acme invoices Q4'.
limitNoMaximum results per entity type. Default: 5. Increase for broader exploration.
Behavior2/5

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

No annotations provided, so description carries full burden. It mentions returning ranked results across entity types but lacks details on sorting, pagination, auth requirements, or performance implications. For a search tool, more behavioral context is needed.

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?

Description is concise with clear section headers (USE WHEN, DO NOT USE WHEN, TIP). Every sentence adds value and is front-loaded with the core 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?

Despite no output schema or annotations, the description explains the result structure (documents, fieldMatches, sources, etc.) in the TIP, covers usage scenarios, and provides adequate context for agent selection and invocation.

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%, so baseline is 3. Description adds slight value by explaining the limit parameter's default and suggesting to increase for broader exploration, but does not significantly extend 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?

Description clearly states it searches across documents, fields, sources, and schemas in the user's Talonic workspace, returning ranked results. It distinguishes from sibling tools by specifying when to use alternatives.

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 USE WHEN and DO NOT USE WHEN sections provide clear guidance on when to use this tool versus siblings like talonic_get_document, talonic_filter, and talonic_extract.

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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