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Alishahi Insurance

Get an application Sam started

get_application
Read-only

Read a quote application Sam Alishahi started from the person's email: every field, its allowed choices, what's filled in and what's still required. The application_id and token are in Sam's reply email (Reference APP-).

Input Schema

NameRequiredDescriptionDefault
tokenYes
application_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real context beyond that: it states the credential requirement (token from the reply email) and characterizes the response as full field-by-field state including allowed choices, which helps the agent know what it will get back.

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?

Two sentences, no filler, front-loaded with the core action before the credential-finding detail. Every clause carries information the agent needs.

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?

With no output schema, the description correctly carries the burden of describing the return: fields, allowed choices, and completion state. For a two-parameter read tool with safety annotations already in place, that covers what an agent needs, with only token format/error behavior left implicit.

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 description coverage is 0%, so the two parameters are documented only in prose. The description does tie application_id to the 'Reference APP-<id>' in the email and places the token in the same message, which is genuinely useful, but it never explains what the token is or any format constraint, so it only partially compensates for the coverage gap.

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 gives a specific verb and resource ('Read a quote application') and even enumerates the payload (every field, allowed choices, filled vs. required), so the intent is unmistakable. It never names a sibling tool, but the read semantics contrast clearly with complete_application and submit_quote_request, so only the explicit differentiation is missing.

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?

Usage is implied: you call this to inspect an application's state before acting on it, and the description supplies the prerequisite that application_id and token come from Sam's reply email. There is no explicit when-to-use/when-not statement and no pointer to complete_application or the other siblings, so guidance stays implicit.

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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