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request_monthly_credits

Ask sales@autonet.work for a monthly credit allowance, normally 1000/month. Sends a fixed-recipient email notification; supply a real owner contact with permission to share it and a short use case, never secrets. Reuse request_key. No automatic payment, invoice or credit grant. Read utility_account for status. Sales agrees terms and invoices separately; admin approves credit allowances. Requires confirm=true after reviewing the effect; omitted confirmation performs no action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes
confirmNo
use_caseYes
request_keyYes
contact_emailYes
monthly_creditsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / confirm
      Added value: +{
      +  "default": false,
      +  "title": "Confirm",
      +  "type": "boolean"
      +}
  2. Added

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only cover the safety profile (readOnlyHint=false, openWorld=true, destructive=false). The description adds substantial non-derivable behavior: it sends a fixed-recipient email, grants no automatic payment/invoice/credit, splits responsibility (sales agrees terms, admin approves), and requires confirm=true or performs no action.

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?

Front-loaded with the action and destination, and every sentence adds a distinct constraint (email behavior, contact rules, no-payment scope, confirm gate, approval split). The telegraphic, fragment-heavy style is slightly harder to parse than flowing prose but wastes little.

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?

An output schema exists so return values need not be explained, and the description covers process, confirmation gating, and the human approval flow. It is essentially complete for calling the tool correctly; only the api_key parameter and any rate-limit expectations are unaddressed.

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 description coverage is 0%, so the description must carry the burden. It defines the meaning of confirm (must be true, else no action), monthly_credits (normally 1000), request_key (reuse it), contact_email (real owner contact with permission, no secrets), and use_case (short). Only api_key is left undescribed, a minor gap against a fully undocumented 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?

States a specific action (request a monthly credit allowance) addressed to a specific recipient (sales@autonet.work) and names the default amount. It also routes the agent away from itself by pointing to read utility_account for status checks, so it is distinguishable from siblings without opening schemas.

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 clear operational context: reuse request_key, supply a real owner contact with permission, never include secrets, and read utility_account for status. Lacks an explicit 'do not use this when...' exclusion, but the workflow and alternative are both indicated.

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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