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cars_session_deal

Get the current deal status — offers received, messages exchanged, unread count. Use to check if the dealer has responded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionYesSession hash
agent_idNoYour agent identifier (claude, grok, gpt, perplexity)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / agent_id
      Added value: +{
      +  "description": "Your agent identifier (claude, grok, gpt, perplexity)",
      +  "type": "string"
      +}
  2. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It does reveal the output fields (offers, messages, unread count), but it never explicitly states whether the call is read-only, whether it resets the unread count, or whether any side effects occur. The verb 'Get' implies non-mutating behavior, but without explicit assurance this is only partially transparent.

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?

The entire guidance is one efficient sentence: purpose first, then the key data fields, then a direct usage statement. Every clause earns its place, with no filler or repetition.

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?

For a simple read operation, the description is nearly self-sufficient: it names the resource, lists the expected return content, and states the intended use. It lacks an explicit note on side effects or prerequisites like requiring an existing session, and with no output schema or annotations, those gaps slightly reduce completeness.

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 100%: both 'session' and 'agent_id' are already described in the input schema. The description adds no extra semantic detail about parameter formats, how to obtain a session hash, or defaults, so it is at the baseline.

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?

The description states a specific verb and resource: 'Get the current deal status' and enumerates the exact data returned (offers received, messages exchanged, unread count). This clearly distinguishes it from sibling tools like cars_search, cars_history, or cars_session_add_car, which concern different resources or actions.

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?

The phrase 'Use to check if the dealer has responded' gives an explicit, identifiable use case, which is strong guidance for an agent. However, it does not name alternative tools or state when not to use this tool, so it stops short of the highest level.

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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