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OsirisMedici

Osiris Premiere MCP

by OsirisMedici

Review Dialogue Candidates

review_dialogue_candidates
Read-onlyIdempotent

Review revision-bound dialogue candidates with surrounding words, silence padding, keep/reject decisions, and unioned source-time removal duration; recomputed revisions reject stale selections.

Instructions

Review revision-bound dialogue candidates with surrounding words, silence padding, explicit keep/reject decisions and unioned source-time removal duration. Recomputed review revisions reject stale selections. Local-only; no timeline mapping, transcription or mutation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
segmentsYesCaptured transcript segments; each source must have one consistent revision.
filler_wordsNoExact filler words or phrases to flag for whole-segment review.
rejected_idsNoExplicitly rejected entry IDs. Unselected entries remain pending.
selected_idsNoExplicitly approved entry IDs. Omit for an initial review; an empty array approves nothing.
silence_rangesNoSupplied local silence evidence; every source must occur in segments.
padding_secondsNoSpeech retained at both edges of silence cuts; defaults to 0.1 seconds. Does not alter filler-word ranges.
minimum_silence_secondsNoMinimum silence duration; defaults to 0.7.
expected_review_revisionNoRevision from the initial review; required when selecting or rejecting entries. A changed input requires a new review.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool completed successfully.
dataNoTool-specific result data when ok is true; on failure, diagnostic detail when the tool provides it.
toolYesThe registered MCP tool name.
errorNoFailure detail when ok is false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.19.1

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds genuine behavioral context beyond them: local-only processing, no transcription or timeline mapping, and stale-selection rejection when a review revision changes. It does not, however, explain error behavior or limits beyond the schema.

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?

Two tightly packed sentences with the primary purpose front-loaded ahead of the stale-revision and scope caveats. Every clause conveys information; nothing is padding.

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?

For an 8-parameter tool with a full output schema and complete parameter coverage, the description need not explain return values, and it correctly focuses on workflow (revision staleness) and scope boundaries. The main gap is the absence of explicit routing against sibling review/analyze tools.

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 description coverage is 100%, so the schema already documents all eight parameters thoroughly. The description loosely maps to them ('silence padding', 'keep/reject decisions', 'surrounding words') but adds no syntax, format, or constraint detail beyond what the schema provides. Baseline 3 is appropriate.

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 and resource (review dialogue candidates) and describes the computation performed: surrounding words, silence padding, keep/reject decisions, and unioned removal duration. However, it never names its closest sibling (analyze_dialogue_edit_candidates) or the other review_* tools, so the agent must infer the boundary from the 'Local-only' clause rather than an explicit distinction.

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 'Local-only; no timeline mapping, transcription or mutation' clause gives real negative guidance about what this tool is not for, and 'Recomputed review revisions reject stale selections' hints at the initial-review-then-select workflow. But there is no explicit when-to-use statement or named alternative, leaving the agent to infer usage from the description.

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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