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Veqen: AI cost monitoring and protection

Ask for, or answer, a higher limit

limit_request

action ask (for the signed-in person: amount_usd a month and a note), approve (request_id at amount_usd a month, which becomes the person's limit in every tool) or deny (request_id).

Input Schema

NameRequiredDescriptionDefault
noteNo
actionYes
amount_usdNo
request_idNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (not read-only, not destructive, not idempotent), so the description adds real value by disclosing the lasting side effect that approve makes amount_usd 'the person's limit in every tool,' and that ask is scoped to the signed-in person. It does not mention permissions or reversibility, keeping it off a 5.

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?

A single front-loaded sentence built around the action parameter, with each parenthetical earning its place by tying parameters to branches. The nested parentheses make it slightly harder to parse than a short bulleted list would be, but there is no padding.

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 four-parameter mutation tool with an output schema (so return values need no explanation) and annotations covering safety, the action semantics and the global effect of approve are covered. Still missing is authorization context for approve/deny and what happens on a rejected or duplicate request, which matters for a governance operation.

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 0%, so the description carries the burden and largely does: it maps amount_usd/note to ask, request_id/amount_usd to approve, and request_id to deny. The gap is that note's required/optional status for ask and the units of amount_usd (per month) are stated loosely rather than definitively.

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?

The description names three concrete operations (ask, approve, deny) against a specific resource, a spending limit request, and says who they apply to (the signed-in person, a request_id). It is clearly a request/approval tool, though it never names the sibling it is not (limits, set_budget) to sharpen 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 action breakdown implies when each branch applies (ask to raise your own limit, approve/deny to resolve someone's request), but there is no explicit when-to-use versus limits or set_budget, no statement of who may approve, and no prerequisite ordering such as whether a request must exist first.

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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