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FinPortal.mk Financial Intelligence

Временска линија за компанија

get_company_timeline
Read-onlyIdempotent

Build a newest-first timeline of stored public mentions for a company or ticker. Use get_company_intelligence when a bounded date range and records grouped by source category are needed; this tool does not forecast price or performance.

Input Schema

NameRequiredDescriptionDefault
limitNo
tickerNo
companyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, open-world, and non-destructive behavior, so the safety profile is covered. The description adds useful behavioral context beyond annotations: results are newest-first, they are based on stored public mentions, and the tool is not a forecasting tool. It does not describe pagination or rate-limit behavior, which keeps it short of a 5.

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?

The description is two efficient sentences with the core purpose front-loaded and the alternative-tool routing placed immediately after. Every sentence adds useful selection information with no repetition or filler.

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?

For a read-only timeline tool with strong annotations, the description gives enough context to select it and route away from get_company_intelligence. However, with no output schema and no parameter descriptions in the schema, it leaves the limit behavior and the exact return shape under-specified.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry parameter meaning, but it only vaguely indicates that a company or ticker can be supplied. It says nothing about the limit parameter, its default, its maximum, or the fact that company is required while ticker is optional.

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 states a specific verb and resource: it builds a newest-first timeline of stored public mentions for a company or ticker. It also explicitly distinguishes itself from the sibling get_company_intelligence, so an agent can tell the two apart without opening both schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It names the alternative get_company_intelligence and the exact condition that selects it: bounded date range and records grouped by source category. It also states a clear exclusion, that this tool does not forecast price or performance, leaving little ambiguity about when to use it.

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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