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related_author

Fetch related objects for a specific Author instance by relation name, using limit and offset pagination to inspect linked Django admin records.

Instructions

Fetch related objects for a Author instance. Use describe_author to discover available relations.

Input Schema

NameRequiredDescriptionDefault
idYesThe ID of the Author
limitNoMaximum number of related items to return (default: 100)
offsetNoNumber of items to skip (default: 0)
relationYesThe name of the relation to fetch (e.g., 'articles' for reverse FK)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. 'Fetch' implies a non-destructive read and the describe_author pointer discloses the relation-discovery workflow, but nothing is said about error behavior for invalid relations, permissions, or result shape.

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 short, front-loaded sentences with no filler; the core action comes first and the workflow hint second. Every clause earns its place.

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?

No output schema exists, so the description ideally would hint at what related objects look like, but it only says 'related objects' generically. Pagination is covered by limit/offset params and relation discovery is routed, leaving an adequate but incomplete picture.

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 description coverage is 100%, including a usage example for 'relation', so the schema does the heavy lifting. The description adds no parameter-level detail beyond what the schema already documents, which is the correct baseline of 3.

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?

States a specific verb+resource: 'Fetch related objects for a Author instance.' The resource name (author) implicitly separates it from related_article and related_mcptoken, and it explicitly contrasts with describe_author. Clear but not maximally differentiated.

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 concrete prerequisite routing: 'Use describe_author to discover available relations,' which tells the agent how to obtain a valid relation value. No explicit when-not-to-use guidance, so it falls short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.