Skip to main content
Glama

OptimistFi

Track record

get_track_record
Read-only

OptimistFi's TRACK RECORD on a company — each time a new filing crossed (or held) the standing thesis's break condition, stamped with the filing date. A crossing whose thesis PREDATES the filing that crossed it is a real, dated call ("flagged before it happened"). Built deterministically from filed facts, precomputed — no model call. Use when the user asks: has OptimistFi been right on X; did X's thesis break; what's the track record on X. Args: entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entityYes
reading_levelNo
response_modeNostandard

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true; the description adds valuable behavioral context by noting the result is 'built deterministically from filed facts, precomputed — no model call.' This informs the agent that the tool is safe, fast, and non-generative. It does not contradict the annotation.

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 dense but focused: it explains what the record is, how it is built, and when to use it. The final 'Args: entity' is redundant with the schema, but the overall structure is efficient and front-loaded.

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 does a good job conveying the content and meaning of a track record (filing dates, thesis predating the filing, deterministic construction). It does not explain optional formatting parameters, but those are secondary and carry defaults/enums.

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 compensate, but it only states 'Args: entity.' It gives no added meaning for reading_level or response_mode, and even 'entity' is only loosely tied to the word 'company' in the first sentence.

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 states a specific resource ('OptimistFi's TRACK RECORD on a company') and a clear result: each filing crossing the thesis break condition, stamped with filing date. It is easily distinguishable from siblings that return theses or recent breaks, though it does not explicitly name an alternative tool.

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

Usage Guidelines4/5

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

The description gives explicit query triggers: 'has OptimistFi been right on X; did X's thesis break; what's the track record on X.' It does not provide exclusions or compare directly with sibling tools, so it misses the highest bar for alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources