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Quaestor-Technologies

Standard Metrics MCP Server

get_company_metrics

Retrieve financial metrics for a specific company with optional filters by date, category, and cadence. Includes budget metrics if requested.

Instructions

Get metrics for a specific company.

Args: company_id: The unique identifier for the company from_date: Start date for metrics (inclusive) to_date: End date for metrics (inclusive) category: Filter by metric category cadence: Filter by metric cadence (daily, monthly, etc.) include_budgets: Include budget metrics in results page: Page number for pagination (default: 1) per_page: Results per page (default: 100, max: 100)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idYes
from_dateNo
to_dateNo
categoryNo
cadenceNo
include_budgetsNo
pageNo
per_pageNo
Behavior2/5

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

With no annotations provided, the description carries full burden but only documents parameters. It does not disclose behaviors like pagination handling, rate limits, or what happens on invalid company IDs. The read-only nature is implied but not explicit.

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 front-loaded with the main purpose, followed by a well-structured list of parameters. It is concise without redundancy, though slightly lengthy due to parameter count.

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

Completeness3/5

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

Given 8 parameters, no output schema, and no annotations, the description provides adequate parameter documentation but lacks context on return structure, error cases, or differentiation from sibling tools. Moderate coverage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description adds significant value by explaining each parameter (e.g., 'inclusive' for dates, 'default: 1' for page). However, some descriptions like 'Filter by metric category' are vague and could be more detailed.

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

Purpose5/5

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

The description clearly states 'Get metrics for a specific company', providing a specific verb and resource. It distinguishes from sibling 'get_company_recent_metrics' by implying historical range via date parameters.

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 explicit guidance on when to use this tool versus alternatives like 'get_company_recent_metrics' or other getters. The description only lists parameters without usage context.

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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