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permission_decide

The owner, signed in on https://ce-net.com/mcp, approves or denies a proposal.

Input Schema

NameRequiredDescriptionDefault
idYes
decisionYes
expiry_daysNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. Added
  6. Removed
  7. Added
  8. Removed
  9. Changed3 schema fields changed
    • removedInput schema / properties / decision / properties
      Removed value: -null
    • removedInput schema / properties / expiry_days / properties
      Removed value: -null
    • removedInput schema / properties / id / properties
      Removed value: -null
  10. Changed5 schema fields changed
    • addedInput schema / properties / decision / properties
      Added value: +null
    • removedInput schema / properties / expiry_days / description
      Removed value: -"approve for fewer days than proposed"
    • addedInput schema / properties / expiry_days / properties
      Added value: +null
    • removedInput schema / properties / id / description
      Removed value: -"a proposal id (p-...)"
    • addedInput schema / properties / id / properties
      Added value: +null
  11. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare non-read-only, non-idempotent, non-destructive, open-world behavior, so the bar is lower. The description adds the meaningful detail that only the owner acting through the web endpoint can decide, but it says nothing about reversibility, what happens if a decision is repeated, or how approve/deny interacts with the proposed expiry.

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?

One short sentence with the actor and action front-loaded. The embedded URL is awkwardly placed mid-clause and costs a beat of parsing, but nothing is redundant.

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

Completeness2/5

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

For a mutation tool with no output schema and zero parameter documentation, the description is too thin: it never explains expiry_days, the required permitted identity, or what a successful decision returns, so the agent must guess at key inputs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description mentions no parameters at all. Most damaging is expiry_days, which is entirely unexplained — an agent cannot tell whether it bounds the granted permission, the decision window, or something else, and 'id' is never tied to a proposal source.

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 pair (approves or denies) and resource (a proposal), which is enough to separate it from permission_propose and permission_revoke. It does not explicitly name those siblings, so an agent must still infer the boundary.

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?

The clause 'The owner, signed in on https://ce-net.com/mcp' implies a context of use and an authorization prerequisite, but there is no when-not guidance and no reference to permissions_pending or permission_status as the way to discover proposals awaiting a decision.

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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