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Get track record

get_track_record
Read-onlyIdempotent

Retrieve bounded live prediction outcome buckets. Small resolved samples are not calibrated confidence evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
appYes
itemNo
toolYes
errorNo
itemsNo
totalNo
hasMoreYes
freshnessNo
truncatedYes
nextOffsetNo
provenanceYes
generatedAtYes
retrievalModeYes
schemaVersionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds two useful behavioral points beyond that – results are paginated/'bounded' and represent 'live' (open-world) outcomes, plus a caveat about sample-size reliability – but omits auth needs, rate limits, or ordering behavior.

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?

Two short, front-loaded sentences with no filler; the primary purpose leads and the caveat follows. The phrasing is telegraphic enough to feel terse rather than fully clarifying, keeping it short of a 5.

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?

An output schema exists, so return values need not be explained in prose, which the description rightly does not attempt. But with two undocumented parameters and no sibling routing, the description is only minimally complete for a read tool in this family.

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 schema documents neither 'limit' nor 'offset'. The description only hints at bounding ('bounded') without defining the limit ceiling, default, or what offset paginates over, leaving both parameters materially under-specified.

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

Purpose3/5

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

The description gives a verb ('Retrieve') and a scope ('live prediction outcome buckets'), so the agent knows it deals with prediction results rather than raw signals. However, 'track record' is only restated as the jargon term 'outcome buckets', which is not self-explanatory and does not clearly distinguish it from siblings like get_signal_evidence.

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?

The only guidance is the interpretive caveat that small resolved samples are not calibrated confidence evidence. There is no statement of when to call this versus get_signal_evidence or get_daily_signals, and no prerequisites or exclusions are given.

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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