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Procountor: Verify purchase invoice

procountor_verify_purchase_invoice

Procountor: Verify a purchase invoice in circulation, with an optional comment. Does what Verify does in the Verification view: adds a stamp with your name, date, time and comment. It works only for invoices where you are a named verifier, and approval circulation must be on. When all specified verifiers have checked it, the status becomes Verified. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commentNoOptional comment stored with the stamp.
invoice_idYesPurchase invoice ID from list_purchase_invoices.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations mark it as a non-destructive, open-world mutation, and the description goes well beyond them: it explains the stamp it adds (name, date, time, comment), the approval-circulation prerequisite, the resulting Verified status, the per-call confirmation default, and the required API key scope. Rich behavioral context consistent with the annotations.

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 purpose and workflow mechanics, and most sentences carry distinct information. Minor redundancy between the confirmation-default note and the "confirm with the user before each call" warning keeps it from a 5.

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

Completeness5/5

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

For a tool with no output schema, the description compensates well: it discloses the resulting status, the gating conditions, and the confirmation/key requirements. Nothing needed to call it correctly is missing.

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 coverage is 100%, so both parameters are already documented. The description adds only marginal meaning (that the comment is stored with the stamp), which the schema nearly conveys; baseline 3 is appropriate.

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 verb and resource ("Verify a purchase invoice in circulation") and scopes it to a particular workflow state. An agent can distinguish it from siblings like get_purchase_invoice or approve_purchase_invoice without opening 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 Guidelines4/5

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

Gives clear preconditions: works only where you are a named verifier and approval circulation is on. Also flags the confirm-before-each-call behavior and the ability to switch it off. It stops short of explicitly contrasting with the sibling approve tool, so a 4 rather than 5.

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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