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Get Satisfaction Score

get_satisfaction_score
Read-onlyIdempotent

Read satisfaction score and contributing factors. Use IDs from list_test_blocks to target a block/run; omission uses the documented defaults. Legacy tests also supported.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
runIdNo
testIdYes
blockIdNoSelect one block from list_test_blocks. Omit to infer a sole relevant block; list_insights defaults to all AI blocks. Omit for legacy tests.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
susNo
dataNo
aboutNo
retryNo
runIdNo
scopeNo
uxiaQNo
statusNo
testIdNo
blockIdNo
messageNo
pillarsNo
computedNo
nextStepNo
availabilityNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered. The description adds useful behavioral context ('contributing factors' as return content, 'legacy tests also supported'), but the phrase 'the documented defaults' points at documentation that isn't present here, leaving the fallback behavior opaque.

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 tight sentences with the read purpose front-loaded and no filler. Slightly penalized for the dangling reference to 'documented defaults' rather than stating the behavior inline.

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 no explanation, and annotations cover the safety profile. Still, the ID-sourcing story is incomplete (testId/runId undocumented) and the default-resolution behavior is deferred to external docs, leaving an agent with gaps for a tool that reads from a nested test/run/block hierarchy.

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?

Schema coverage is only 33% – blockId is documented but runId and testId are not. The description partially compensates by pointing to list_test_blocks for IDs and describing omission/default behavior for the block/run, but testId semantics and the runId format remain undocumented in both places.

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?

States a specific verb (read) and resource (satisfaction score) plus the return content ('contributing factors'). It is clear what the tool returns, but it never distinguishes itself from the similar-sounding sibling get_optimization_score, leaving that inference to the agent.

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?

It tells the agent where to obtain the ID ('Use IDs from list_test_blocks') and that omission uses defaults, which is genuinely useful routing. However, it gives no explicit when-to-use vs the neighboring score/report tools (get_optimization_score, get_test_report), so usage is only implied.

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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