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get_voice_transcript

取得開發者語音描述(中文轉錄)。Developer voice transcript.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
report_idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the resource ('Developer voice transcript') and the action ('get'), but does not disclose read-only nature, potential side effects, authentication, error behavior, or return format. This is a minimal label rather than behavioral transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, but contains redundant bilingual repetition ('取得開發者語音描述' and 'Developer voice transcript' convey the same meaning). It is concise but not optimally structured; one language would suffice.

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?

For a simple one-parameter getter with no output schema, the description provides the basic purpose but omits details like return value format, error handling, and what 'voice transcript' entails. Given the lack of annotations, the description is under-specified, though the tool's simplicity mitigates the gap somewhat.

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. It fails to mention the parameter 'report_id' or any details about it. While the parameter name and type are self-explanatory, the description adds no value; the agent gets no additional context about the parameter's semantics or format.

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 indicates the tool retrieves a developer voice transcript (中文轉錄), which is a specific resource distinct from sibling tools like console logs or network errors. The verb '取得/get' and the noun phrase 'voice transcript' define the purpose unambiguously.

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 when needing the developer's voice transcript, but provides no explicit guidance on when to prefer this over alternatives or any exclusion criteria. There is no mention of alternatives or context, so the usage guidance is merely 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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TDQS

A3.6/5.0
Disambiguation4/5

The tools are mostly distinct, but there is some overlap between get_console_logs, get_network_errors, and get_live_errors, as get_live_errors encompasses the other two. Also, get_rrweb_events and get_rrweb_summary serve similar purposes, though one is full data and the other a summary.

Naming Consistency5/5

All tools follow the verb_noun pattern with lowercase underscores, using 'get_' for retrieving specific data and 'list_' for listing reports. This is a consistent and predictable naming convention.

Tool Count5/5

Thirteen tools is well within the typical range for a comprehensive debugging server. Each tool serves a specific purpose, and there are no redundant or unnecessary tools.

Completeness5/5

The tool set provides thorough coverage of the debugging workflow, including console, network, terminal, DOM events, screenshots, voice transcripts, and a unified timeline. It also includes report listing and usage stats, leaving no obvious gaps for its stated purpose.