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keyso-mcp

by abukreev-dev

keyso_get_zen_dashboard

Retrieve Zen dashboard metrics for a specified Yandex Zen channel via the Keys.so API. Provide the channel name or URL to get performance data.

Instructions

Дзен - дашборд Method: GET Path: /zen/dashboard Пример запроса https://api.keys.so/zen/dashboard?channel=Text.ru+-+%D0%BF%D0%B8%D1%88%D0%B8+%D0%B8+%D0%BF%D1%80%D0%BE%D0%B2%D0%B5%D1%80%D1%8F%D0%B9

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNoAPI token override (fallback: KEYSO_TOKEN env)
channelYesin: query | Имя или урл канала
base_urlNoOverride API base URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

There are no annotations, so the description must carry behavioral disclosure. It does convey that this is a GET (read-only) request and that channel is supplied via query string, but it says nothing about response shape, auth requirements, errors, or limits.

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 short, front-loads the resource, and includes only method/path and an example. It is appropriately compact, though the bare format leaves room for more substantive context.

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?

With no output schema and no annotations, the description should explain what the dashboard response contains and how it behaves. It only provides endpoint and example, so an agent cannot predict the data or side effects and may conflate it with other dashboard tools.

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 schema already explains token, channel, and base_url. The description adds a concrete encoded example for channel, which is mildly helpful, but it does not deepen parameter semantics beyond the schema.

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 identifies a specific GET endpoint (/zen/dashboard) for the Zen dashboard resource and includes a required channel parameter, making the target clear. It is distinct from siblings like zen_top_channels and zen_channel_publications by resource, though it does not explicitly say what the dashboard contains.

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 when-to-use guidance or alternatives are given; the description only restates the endpoint and shows an example call. With many similar Zen and report dashboard siblings, an agent gets no help deciding when this tool is the right choice.

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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