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Fetch a wiki page by numeric ID, getting its markdown body and trust signals (freshness, provenance, corroboration). Choose format: full body, heading outline, or computed spreadsheet values.

Instructions

Full markdown body + metadata for a numeric page id. Includes an epistemic block — trust signals computed from the wiki's own state: freshness (age, stale, review_overdue), provenance (human / agent / sync), and corroboration vs. dispute against same-space pages. Weigh it: prefer fresh, corroborated, human-reviewed pages; treat a stale or disputed page as lower-confidence and check its listed disputes before relying on it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesnumeric page id
formatNo'full' (default) returns the markdown body; 'map' returns just the heading outline (section levels + paths) and no body — cheap to read, and each path is a target for patch_page; 'values' — for a SHEET page (sheet=true), returns the computed spreadsheet as self-describing prose (formulas materialized to their numbers, styling stripped) so you read the answers, not the raw =formulas (no effect on non-sheet pages)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
Behavior5/5

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

Discloses the epistemic block with detailed fields (freshness, provenance, corroboration) and their implications. Exceeds what annotations provide (readOnlyHint, no destructive/ openWorld). No contradictions with annotations.

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?

Concise, front-loaded with purpose, and each sentence adds value. No fluff.

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 output schema exists, description covers all necessary context: what is returned, parameter modes, and how to use the epistemic block. Adequately handles tool complexity.

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

Parameters5/5

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

Schema coverage is 100%, but description adds significant value by explaining each format option: 'full' returns markdown body, 'map' returns heading outline (cheap, targets for patch_page), 'values' returns computed spreadsheet for sheet pages. This clarifies usage 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 'Full markdown body + metadata for a numeric page id', specifying the resource and verb. It distinguishes from siblings by focusing on retrieval of content and trust signals, not modification or listing.

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?

Provides guidance on how to interpret the epistemic block ('prefer fresh, corroborated, human-reviewed pages'), which helps in acting on the output. Implicitly indicates when to use the tool (when full content and trust signals are needed) vs alternatives like format='map' for cheap outlines.

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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