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imam-db

reimburse-buddy

by imam-db

send_message

Emails an employee to request a missing receipt or claim information; messages go to the outbox, and replies can be checked with search_inbox.

Instructions

(Mock) Email an employee, e.g. to ask for a missing receipt. Goes to the outbox. Scripted replies arrive in that employee's mailbox; check with search_inbox.

Input Schema

NameRequiredDescriptionDefault
toYes
bodyYes
subjectNo
claim_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations at all, the description carries the full load and does disclose genuinely non-obvious behavior: it is a mock, messages route to the outbox rather than the recipient, and replies are scripted later. It stops short of stating permissions, whether resending duplicates a message, or how claim_id affects delivery, which are gaps for a write tool.

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

Conciseness5/5

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

Three short sentences, zero waste, and the leading parenthetical "(Mock)" plus the routing statement are front-loaded before the follow-up hint. Every sentence contributes distinct information.

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 write tool with no annotations, no output schema, and 0% schema coverage, the description adequately covers delivery semantics and the reply loop but leaves the meaning of subject and claim_id, error conditions, and return values entirely unaddressed.

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%, so the description must explain all four parameters, and it does not. "Email an employee" maps only loosely to `to`, and `subject` and especially `claim_id` (which implies linking the message to a claim) are never explained anywhere.

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+resource ("Email an employee") and gives a concrete use case (asking for a missing receipt), which tells an agent exactly what the tool does. It also names where the message lands (outbox) and points to search_inbox for the follow-up, so it is distinguishable from sibling read tools without opening a 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?

Provides a clear usage context ("e.g. to ask for a missing receipt") and an explicit follow-up path: replies arrive in the employee's mailbox, so check with search_inbox. It lacks an explicit when-not clause or a statement about alternatives such as draft_decision, but the operational guidance is concrete.

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