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Fedor Chishchin — AI agents & MCP servers

Get services

get_services
Read-onlyIdempotent

The two services Fedor offers — AI agent development and MCP server development — with a short summary and the page URL of each.

Input Schema

NameRequiredDescriptionDefault
languageNoLanguage of the returned text: en, ru, es or zh. Defaults to en.en

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that by disclosing the exact return shape (two fixed services, each with a summary and page URL), which matters because no output schema exists.

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?

One tight sentence, front-loaded with the resource and cardinality, and every clause earns its place by describing the return contents.

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 appropriately serves as the return-value contract for this simple read-only tool. It covers content and cardinality; only the language-driven variation in returned text is left unmentioned.

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% and the single language parameter is fully documented in the schema, so the baseline of 3 applies. The description adds no hint that the returned summary/URL text varies by language.

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 names the exact resource (Fedor's two services) and enumerates what each entry contains (summary + page URL), so an agent knows precisely what this tool returns. It is clearly distinguishable from the case-study, post, and contact siblings by content domain, though it never explicitly contrasts itself with them.

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 statement of when to call this tool versus get_contact_info, get_case_study, or the post tools, and no prerequisites or exclusions. Usage is only implied by the resource it returns.

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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