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5iNeX

yandex-api-mcp

by 5iNeX

direct.list_dictionaries

Retrieve Yandex Direct dictionaries by name to access reference data for campaign settings and keyword planning.

Instructions

Get Direct dictionaries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoRaw Direct params override (advanced).
account_idNoProject profile id (resolves to Direct Client-Login and optional Metrica counter defaults).
dictionary_namesYesDictionary names to fetch (required by API).
direct_client_loginNoOverride Direct Client-Login for this call (agency multi-project support).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are present, so the description carries the full behavioral burden. "Get" implies a read-only retrieval, but the description does not disclose authentication needs, rate limits, pagination, or what happens for invalid dictionary names. It is minimally better than no behavioral signal at all.

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

Conciseness3/5

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

The description is a single front-loaded sentence with no wasted words. However, it is so terse that it fails to carry necessary context for a tool with four parameters and a nested override object, making it under-specified rather than ideally concise.

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?

There is no output schema and no annotations, yet the description only says "Get Direct dictionaries." It does not explain what dictionaries are, what the call returns, or how the account/login overrides affect results. The schema covers parameter details, but contextual completeness for an agent selecting and invoking the tool remains poor.

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 the input schema already documents all four parameters including dictionary_names, account_id, direct_client_login, and params. The description adds no additional parameter meaning beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb and resource ("Get Direct dictionaries"), so the operation is identifiable. However, it gives no scope or detail about what a "Direct dictionary" is and does not distinguish this tool from the many other direct.list_* siblings. The purpose is minimally clear but vague.

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?

There is no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The only implied usage comes from the tool name and required parameter, so the agent receives no routing help.

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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