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livetennisapi

livetennisapi-mcp

Model analysis

get_match_analysis
Read-onlyIdempotent

Get match analysis with predicted win probability, model thesis, and key factors. Requires ULTRA plan.

Instructions

Model analysis for a match: predicted win probability, the model's thesis and the key factors behind it. Requires the ULTRA plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
match_idYesMatch id, as returned by get_live_matches, get_upcoming_matches or get_recent_results.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when the call returned data. False for a tier wall, a missing or rejected key, or an empty result — all of which are normal states with a clear remedy, not failures.
thesisNoNarrative view.
messageYesHuman-readable summary. Identical to the text content, so either half can be used alone.
profileNoQuantitative view.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds the ULTRA plan requirement and specifies the output contents, which is valuable context beyond annotations.

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 one sentence that front-loads the core purpose and provides key contents and the plan requirement. Every phrase adds value without redundancy.

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 a comprehensive output schema and safe read-only annotations, the description covers the core aspects. It includes the plan requirement and return contents, making it adequate for a single-parameter analysis tool.

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

Parameters3/5

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

The input schema fully documents match_id with a description of where to obtain it, so schema coverage is 100%. The tool description does not add further parameter meaning, so the baseline 3 applies.

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 the tool provides model analysis for a match, specifically predicted win probability, the model's thesis, and key factors. This distinguishes it from sibling tools like get_match_score or get_match_odds.

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

Usage Guidelines3/5

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

The description implies use for obtaining model analysis but does not explicitly state when to use it over alternatives or mention exclusions. The ULTRA plan requirement is a prerequisite, not usage guidance.

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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