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meeting pack

meeting_pack

会议录音 → 纪要包 PDF:转写、要点、决议、待办。纪要里点名的负责人会与转写原文比对 —— 把任务安排给一个从没在录音里出现过的人,报告会判不通过。入参 url(音频直链)。自证不通过不计费。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
audioNo

TDQS

B3.3/5.0
Behavior1/5

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

There are no annotations provided, so the description must carry the burden of disclosing behavioral traits. The description provides a unique feature: verification of assigned persons against the transcript (if a person never appears, report fails). It also states '自证不通过不计费' (no charge if self-verification fails), which is a critical behavior. However, this internal validation is not clearly a 'behavioral trait' like side effects or permissions; it's a business rule, but it does add transparency. Still, it lacks disclosure of potential errors (e.g., what happens if URL is invalid) or side effects. Given the lack of annotations, this is a moderate gap, but the description does add significant context, so I'd rate 3? However, the scoring guide says score 1 if description contradicts annotations, which it doesn't; but without annotations, the description should cover major traits. The description is sparse but adds key rule. I'll go with 3? But the calibration example for update_drive with no annotations and vague description got 2, here we have more specifics. I'll rate 3 as it adds value but misses error handling.

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?

The description is compact (single sentence) and front-loaded with the main purpose, then adds critical constraints (verification rule, billing). It is efficient and readable, though it could be split into clearer sentences for readability, but it's well-structured for brevity.

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?

Given the tool's complexity (audio-to-PDF with verification), the description is fairly complete: it states input, output, verification rule, and billing policy. However, it lacks details on error handling, supported audio formats, or what the report failure means practically. There is no output schema, so the description should explain return values or failure modes, which it doesn't. Thus, it's adequate but incomplete.

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 has 2 parameters: 'url' (string) and 'audio' (object), with 0% description coverage. The description explains 'url' is the audio direct link, adding meaning beyond the schema. However, the second parameter 'audio' is completely unexplained, and it's unclear how it differs from 'url'. With schema coverage at 0%, the description must compensate for all parameters, which it only partially does for 'url'. Thus, a 2 is warranted.

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 '会议录音 → 纪要包 PDF' (meeting recording → minutes package PDF), specifying the conversion from audio to a PDF containing transcript, key points, decisions, and action items. It uses a specific verb 'convert' implied by the arrow, and resource 'meeting_pack' with clear input (audio URL), distinguishing it from siblings like transcribe_audio and pdf tools.

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

Usage Guidelines4/5

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

The description mentions '入参 url(音频直链)' (input URL of audio direct link), providing clear input requirements. It also implies when to use this tool (for meeting recordings that need a structured minutes package), but it does not explicitly state when NOT to use it or mention alternatives (e.g., use transcribe_audio for plain transcription). Since there is no exclusion, a 4 is appropriate.

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

A3.7/5.0
Disambiguation5/5

Each tool targets a unique operation—conversions, extractions, translations, and utilities like resume checking or redaction—with no meaningful overlap. The few similar tools (e.g., convert_to_pdf vs. xlsx_to_pdf) are clearly distinguished by input type.

Naming Consistency3/5

Naming mixes conventions: verb_noun (extract_tables, redact_text), noun_to_noun (xlsx_to_pdf, pptx_to_pdf), and unusual forms like doc_translate_cn and what_can_you_do. While snake_case is consistent, the verb/noun pattern is not, making the set slightly less predictable.

Tool Count3/5

With 23 tools, the server sits at the heavy end of the acceptable range. Every tool has a distinct purpose, but the spread across PDF handling, research, audio, and accounting utilities feels more like a miscellaneous collection than a focused suite, which could overwhelm agents.

Completeness4/5

The server covers a broad spectrum of document-processing tasks—conversion, extraction, translation, redaction, and validation—with few dead ends. Minor gaps exist (e.g., no PDF merge/split, no OCR for all scanned PDFs, no explicit delete/update for resources), but core workflows are well supported.