org_rating
Позиция организации в рейтинге компаний по обороту (по отрасли/региону), по годам.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| inn | Yes | ИНН организации, 10 цифр. | |
| year | No | Необязательно: конкретный год. Без параметра — все годы. |
Позиция организации в рейтинге компаний по обороту (по отрасли/региону), по годам.
| Name | Required | Description | Default |
|---|---|---|---|
| inn | Yes | ИНН организации, 10 цифр. | |
| year | No | Необязательно: конкретный год. Без параметра — все годы. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safe-read profile is covered. The description usefully adds that the ranking is dimensional (industry/region, per-year), but says nothing about return shape or ranking source, which is left implicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence that defines the resource and its dimensions with essentially no waste. Only slightly terse given the terse-but-complete phrasing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity two-parameter read tool with annotations covering safety, the description is adequate. With no output schema, it could clarify what a 'position' result contains (rank value, period, source), so it is complete enough to invoke but not fully explanatory.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so both 'inn' (10-digit pattern) and the optional 'year' are fully documented in the schema. The description only echoes the year scoping ('по годам') without adding format or semantics beyond the schema, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific resource clearly: the organization's position in a turnover-based company ranking, scoped by industry/region and by year. An agent can tell it apart from financials or lookup siblings, though it does not explicitly name which sibling to prefer for adjacent needs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives no when-to-use guidance, no exclusions, and no alternative tools (e.g. org_financials for raw turnover figures). Usage is only implied by the resource name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.