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search_otch

Search ОТШ (chassis type approvals).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinNoVIN substring (5-17 chars).
pageNo1-based page index.
typeNoType / model.
brandNoBrand.
issuerNoCertification body name — auto-resolved to id (or pass numeric id).
numberNoОТШ number, full or partial.
categoryNoVehicle category.
comm_nameNoCommercial name.
eco_classNoEcological class — '5' or name; auto-resolved to reference id.
page_sizeNoRows per page (max 50).
axis_countNoAxle count (e.g. '2') or exact 'axes / wheels' (e.g. '2 / 4') — auto-resolved to reference id. A bare axle count may match several wheel configs; then candidates are returned to pick from.
wheel_formulaNoWheel formula (e.g. '4x2'); auto-resolved to reference id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the search action, omitting details about pagination, result format, or that it is likely read-only. The agent gets no behavioral insight beyond the operation name.

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?

The description is very concise at one sentence with no fluff. However, it could be more informative without becoming verbose, such as mentioning the scope of the search or result details.

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

Completeness2/5

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

Given the complexity of 12 parameters and the existence of an output schema, the description is too minimal. It does not explain the search's purpose, result structure, or constraints like auto-resolution behavior, leaving significant gaps.

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%, so each parameter is documented in the schema. The tool description adds no extra meaning beyond the schema, meeting the baseline of 3.

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?

Description clearly states 'Search ОТШ (chassis type approvals)', specifying verb and resource. However, it does not differentiate from sibling search tools like search_otts or search_sbkts, which have similar names.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. The description lacks context about prerequisites or scenarios for chassis type approval search, leaving the agent without decision support.

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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