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autocomplete_mcptoken

Search MCP Token instances to return typeahead suggestions for Django admin foreign key and many-to-many widgets.

Instructions

Search MCP Token instances for autocomplete suggestions. Useful for populating FK/M2M field widgets.

Input Schema

NameRequiredDescriptionDefault
termNoSearch term to match against searchable fields
limitNoMaximum number of suggestions to return (default: 10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only lookup but never states read-only semantics, matching behavior (prefix vs. substring), ranking/ordering of suggestions, or what happens when term is omitted.

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 tight sentences, with the purpose front-loaded and the use case second. Nothing is redundant or padded.

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-only autocomplete with full schema coverage and no output schema, purpose and use case are adequately covered. Only the behavioral details (matching, ordering, empty-term behavior) are missing, which is a minor gap here.

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 term and limit are already documented in the schema. The description adds no syntax or format detail beyond that, making the baseline 3 appropriate.

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 ('Search MCP Token instances') and names the outcome ('autocomplete suggestions'), which clearly separates it from list_mcptoken/get_mcptoken. It does not explicitly name those siblings, so it falls short of a 5.

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?

Gives a concrete use context: 'useful for populating FK/M2M field widgets.' That tells the agent when this tool is the right pick, but offers no exclusions or comparison against list_mcptoken or the sibling autocomplete_* tools.

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