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read_page

Retrieve astronomy wiki articles by slug to access detailed information about celestial objects and cosmic phenomena.

Instructions

Read a wiki page by its slug (e.g. 'black-holes', 'dark-matter').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. It provides helpful slug format examples ('black-holes', 'dark-matter') indicating kebab-case IDs. However, it lacks disclosure of error behaviors (404 handling), permissions required, or whether this returns full content vs metadata. Sufficient but minimal for a read operation.

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?

Single efficient sentence, front-loaded with the action. The parenthetical examples earn their place by clarifying the expected format without verbosity.

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

Completeness3/5

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

Adequate for a simple single-parameter read tool where an output schema exists (covering return values). However, with zero annotations and no error documentation, the description misses behavioral completeness regarding failure modes or content scope that would help an agent handle edge cases.

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?

Excellent compensation for 0% schema description coverage. The description adds critical semantic meaning by identifying 'slug' as the lookup key and providing concrete examples of valid slug formats, which the raw schema (just 'string') does not convey.

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?

Clear verb+resource ('Read a wiki page') with specific identifier method ('by its slug'). The examples clarify expected input format. Distinguishes implicitly from 'list_pages' (singular vs plural) but doesn't explicitly clarify when to use this vs 'get_knowledge_graph' or 'ask_question'.

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 versus siblings like 'list_pages' or 'ask_question'. No mention of error conditions (e.g., what happens if the slug doesn't exist) or prerequisites.

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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