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read_page

Retrieve metadata from a formal wiki page for governed knowledge management, providing auditable access to human-approved content.

Instructions

Read a formal llm-wiki page and return wiki metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
limitNo
offsetNo
request_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description does not explicitly confirm that the operation is read-only, idempotent, or free of side effects. The verb 'read' implies safety, but the description does not guarantee it nor disclose any constraints like rate limits or permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but lacks structure. It conveys the core purpose but omits supplementary details that could be efficiently added, such as parameter roles or behavioral notes.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description is not required to detail return values. However, the tool has 4 parameters with no schema descriptions and no annotations, so the description should compensate by explaining usage context, which it fails to do. The description feels incomplete for accurate invocation.

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

Parameters1/5

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

The input schema has 4 parameters with 0% description coverage, and the tool description does not clarify any parameter meanings. The agent must infer from names only (page, limit, offset, request_id), which is insufficient for correct usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (read) and the resource (formal llm-wiki page) and indicates the output (wiki metadata). However, it does not explicitly distinguish this tool from siblings like read_raw_source or compile_page, which also involve reading wiki content.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, context, or exclusions, leaving the agent without direction on tool selection among siblings.

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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