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search_tables

Search PDF documents for structured table data including memory maps, register definitions, and command references. Returns markdown with page numbers.

Instructions

Search for tables in PDF documents. Tables contain structured data like memory maps, register definitions, and command references. Returns tables in markdown format with page numbers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query for table content
max_resultsNoMaximum number of results (default: 5)
tagsNoFilter by document tags (optional)
Behavior3/5

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

No annotations provided. The description indicates it returns markdown tables with page numbers, suggesting read-only behavior, but does not disclose any side effects, auth requirements, or rate limits. Lacks full behavioral disclosure.

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 concise sentences, front-loaded with the core purpose and key details. No wasted words.

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?

Given the simple nature of the tool (3 params, no output schema, no annotations), the description covers purpose, output format, and content examples. It is mostly complete, though usage guidance could improve completeness.

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 coverage is 100% with descriptions for all parameters. The description adds context about output format (markdown with page numbers) and the type of content searched (structured data like memory maps), going beyond the schema to clarify the tool's value.

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 'Search for tables in PDF documents' with specific examples of table content (memory maps, register definitions, command references) and output format (markdown with page numbers). This distinguishes it from sibling tools like search_docs or search_code.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives. Among many sibling search tools (search_docs, semantic_search, hybrid_search, etc.), there is no differentiation or exclusion criteria.

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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