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history_author

Retrieve change history for a Django Author instance to see who made what changes and when, with an optional limit on LogEntry records.

Instructions

Get the change history (LogEntry records) for a Author instance. Shows who made what changes and when.

Input Schema

NameRequiredDescriptionDefault
idYesThe ID of the Author to get history for
limitNoMaximum number of history entries to return (default: 50)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the return payload ('LogEntry records') and its semantic content ('who made what changes and when'), but says nothing about ordering, pagination beyond the schema's limit, retention, or read-only safety, leaving real gaps for an audit-style tool.

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 sentences with the core action front-loaded and no filler; the second sentence adds concrete value about what the history contains rather than restating the first.

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?

For a simple two-parameter read tool with a fully documented schema, the definition is nearly sufficient: it names the resource, the ID requirement is in the schema, and it describes the return content even without an output schema. Minor gaps remain around ordering and result limits.

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%, so both parameters (id, limit) are already fully documented in the schema. The description adds no format or constraint detail beyond it, so the baseline 3 applies.

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 and resource (get change history for an Author instance) and clarifies the record type (LogEntry). The resource noun 'Author' implicitly distinguishes it from history_article and history_mcptoken siblings, though it never names them explicitly.

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 guidance on when to use this versus related tools (e.g., get_author, related_author, history_article) and no prerequisites or exclusions stated. Usage is only inferable from the tool name.

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