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

Annotations carry readOnlyHint=true, which the description does not contradict — retrieving a transcript is consistent with a read operation. The description adds genuine behavioral value beyond the annotation: it discloses that long texts are paginated and that the next chunk is fetched via offset=next_offset, and it reveals the output contains timestamps and a WAV path. This is meaningful context the annotation does not provide.

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

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

Two sentences with the core purpose front-loaded and the pagination detail placed second. No wasted words; the timestamps format and pagination behavior each earn their place. Only a small efficiency gain would be possible by trimming redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only retrieval tool with readOnlyHint annotation and no output schema, the description covers the return content (transcript, timestamps, WAV path) and the pagination mechanism. It is incomplete on what 'id' should be and on prerequisites (e.g., requiring a prior transcribe_recording). The return format is described but the parameter contract is not fully specified.

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

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

Schema description coverage is 0%, so the description carries the full burden of explaining the two parameters. It partially compensates by explaining offset's role in pagination (next_offset), but it never defines what 'id' refers to (meeting ID? transcript ID?) or its required format. With no schema help, leaving a required parameter undocumented is a notable gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the resource (transcript of a meeting) and the content delivered (timestamps in HH:MM:SS format and WAV path). The verb is implied rather than explicit ('Расшифровка' = transcript), but the intent to retrieve is unambiguous. It partially distinguishes from the sibling transcribe_recording, which is about creating a transcript, while this one retrieves it.

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

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

There is no explicit guidance on when to use this tool versus its siblings. The natural counterpart transcribe_recording (creation vs. retrieval) is never named, nor is any precondition stated (e.g., that a transcript must already exist). The only usage hint is implicit in the pagination note about offset, which is behavioral rather than selection guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

With only openWorldHint and destructiveHint in annotations, the description carries the behavioral burden and does so thoroughly. It reveals that the tool starts a recording, returns the recording id, is idempotent for an already-running recording, and only considers entry successful when the recording file appears and grows, with a bounded wait.

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

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

Four dense sentences, front-loaded with the core action and then layered with necessary caveats. There is no filler; every sentence contributes operational knowledge.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description explains the return value (recording id), the eventual consistency behavior, the timeout fallback to meeting_status, and the no-second-bot guarantee. This is sufficient for an agent to invoke the tool correctly in most scenarios.

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

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 explains platform='auto' (detection by link) and wait_seconds (timeout cap), and url is contextual from 'по ссылке', but display_name is not mentioned and platform values are not enumerated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with a specific action: silently join an online meeting and start recording. This clearly separates it from siblings like meeting_status and leave_meeting by naming the resource (meeting) and the exact operation (join + record).

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

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

It gives clear invocation context: supported platforms, how platform='auto' works, and the timeout behavior. It even points to meeting_status for follow-up checks, though it does not explicitly contrast against other siblings such as transcribe_recording or leave_meeting.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Annotations only provide destructiveHint=false, so the description carries the behavioral burden. It discloses that transcription runs in the background and that the final text is retrieved via get_transcript. However, it does not mention side effects like whether the recording is saved or if leaving is irreversible, but the async behavior is a valuable addition.

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

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

The description consists of two short, front-loaded sentences with no filler. The first sentence states the actions; the second explains the background transcription and where to retrieve results.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no output schema, the description covers the primary effects and the follow-up tool, but omits the meaning of the required 'id' parameter and any prerequisites or errors. It is adequate but has clear gaps.

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

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

Schema description coverage is 0% and the description does not explain the 'id' parameter at all. The agent must infer that 'id' refers to the meeting ID, so the description adds no semantic value for the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool leaves the meeting, ends recording, and starts local transcription. It explicitly names get_transcript as the provider of the finished text, distinguishing this tool from transcribe_recording and get_transcript.

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

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

The description gives clear context for when to use the tool (leaving a meeting and wanting a transcript) and points to get_transcript as the follow-up. It does not explicitly exclude alternatives, but the intended workflow is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

The readOnlyHint=true annotation already communicates that this is a safe read operation, and the description does not contradict it. The description adds the returned field list but not behavioral details such as ordering, date filtering, or pagination behavior. With annotations covering the safety profile, this is a baseline-adequate score.

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

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

The description is a single short fragment with no filler, so it is concise in length. However, it is so terse that it reads more like a response label than a complete tool definition, making it under-specified rather than well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only list tool with one optional parameter and no output schema, the field list provides useful context about what is returned. Yet the agent is left without knowing how limit affects results or whether records are ordered, so the description has clear but not severe gaps.

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

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

The only parameter, limit, is not mentioned anywhere in the description, and the schema provides no description coverage either. The description neither explains what limit controls nor hints at pagination, so it adds no value beyond the raw schema field.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Последние записи' (latest records) and enumerates the fields (id, platform, link, when, phase, duration), which together with the tool name make clear this tool lists recent meetings. It is distinguishable from the action-oriented siblings like join_meeting or transcribe_recording. However, it doesn't explicitly phrase the action as 'list meetings', so it stops short of a 5.

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

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

There is no guidance about when to use this tool versus meeting_status or get_transcript, and no indication of when not to use it. The description only reports output contents, leaving the agent to infer selection criteria from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Annotations include readOnlyHint=true, so the description need not restate safety. The description adds valuable behavioral context by listing the specific status indicators it reports (bot presence, file growth, audio, duration, transcription). However, it does not disclose error behavior, what happens for missing IDs, or whether the tool might block or wait. This is acceptable given the read-only annotation, so a 3 is appropriate.

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

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

The description is a single, densely informative sentence that front-loads the core concept ('Состояние записи') followed by a clear list of status aspects. Every word adds value; there is no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one parameter) and read-only, so the description lists the key status fields, which is useful. However, it does not describe the return format (e.g., JSON structure, field names, types) or how the status is presented. Since there is no output schema, this information must come from the description, and it is missing. Also, the parameter semantics gap further reduces completeness. A 3 reflects that the description covers the what but not the how.

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

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

The schema has a single required parameter 'id' with no description, and schema description coverage is 0%. The tool description does not explain what 'id' refers to (likely a meeting/recording ID), nor the format or how to obtain it. With zero coverage in the schema and no clarification in the description, the parameter is effectively undocumented. This is a significant gap for an agent to invoke the tool correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: reporting the status of a recording (whether the bot is in the call, file growth, audio presence, minutes recorded, transcription progress). It uses a specific verb ('состояние' status) and resource (recording), and clearly distinguishes from siblings like transcribe_recording, join_meeting, and get_transcript, which are actions rather than status queries.

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

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

No explicit guidance on when to use this tool versus alternatives. It implies a status-checking use case, but doesn't state when to prefer it over get_transcript or list_meetings, nor any prerequisites (e.g., that a meeting must be active or a recording ID must exist). No exclusions or alternatives named.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

The description adds useful behavioral context beyond the sparse annotations: it runs in the background ('Идёт в фоне') and its result is exposed through get_transcript. Since annotations only provide destructiveHint=false and no readOnlyHint, this async framing is valuable. It does not contradict any annotation.

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

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

The entire description is two compact sentences with no wasted words. The purpose and trigger condition are front-loaded, and the second sentence provides the key behavioral detail (background execution and result destination). Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no output schema and minimal annotations, the description covers purpose, trigger condition, async behavior, and where to get the result. It is slightly incomplete only in not spelling out the semantics of id and not describing failure/error behavior, but these are minor gaps given the tool's simplicity.

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

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

The input schema has one required string parameter 'id' with 0% schema description coverage, and the description never explicitly explains what id refers to. The surrounding context implies it is the recording identifier, but the description does not compensate for the missing schema documentation, leaving the parameter semantics underspecified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description begins with a specific verb and object: 'Заново расшифровать готовую запись' (re-transcribe a finished recording), and gives a concrete trigger condition (transcription crashed or recording process died while WAV remains). This clearly separates it from siblings like get_transcript (retrieval), list_meetings (listing), and join/leave_meeting (meeting actions).

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

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

The description states an explicit when-to-use condition: use it when the previous transcription failed but the WAV file still exists. It also points to get_transcript as the place to retrieve the result. It does not explicitly name alternatives or say when not to use it, but the intended context is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.