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bulk_mcptoken

Create, update, or delete multiple MCP Token records in one request to manage Django admin tokens in bulk instead of editing each item separately.

Instructions

Perform bulk operations on MCP Token: create, update, or delete multiple items.

For 'create': items is a list of data objects For 'update': items is a list of {id, data} objects For 'delete': items is a list of IDs

Input Schema

NameRequiredDescriptionDefault
itemsYesItems to process (format depends on operation)
operationYesThe bulk operation to perform

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?

With no annotations, the description carries the full behavioral burden, yet it discloses nothing about the destructive nature of 'delete', permission requirements, atomicity, or partial-failure behavior for a multi-item operation. It only adds input-format detail, so the safety-relevant traits remain invisible.

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

Conciseness4/5

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

Purpose is front-loaded in the first sentence, followed by a compact, necessary per-operation breakdown. No filler, though the three format lines are slightly dense.

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?

For a bulk mutation tool with no annotations and no output schema, the input formats are covered but return values, error handling and partial-failure semantics are absent. Adequate but with clear gaps for this complexity level.

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?

Schema coverage is 100% (baseline 3), but the schema's items description is vague ('format depends on operation'), and the description supplies the exact shape per operation — data objects for create, {id, data} for update, IDs for delete — adding real meaning beyond the schema.

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

Purpose5/5

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

The description states a specific verb set (bulk create/update/delete) and the resource (MCP Token items), and the 'multiple items' framing cleanly distinguishes it from single-item siblings like create_mcptoken, update_mcptoken and delete_mcptoken without needing the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains the input shape for each operation, which implicitly guides operation selection, but never states when to prefer bulk over the single-item siblings or any prerequisites. Usage is implied rather than stated.

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