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

With no annotations, the description carries the burden and adds useful behavioral detail: it 'Automatically starts browser interface if not running' and imposes a conversation-mode rule. It does not explain timeout failure behavior or the wait_for_response=false case, but the schema covers the timeout formula and the core behavior is disclosed.

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 three sentences, front-loaded with purpose, followed by operational context and an important protocol note. There is no wasted content and each 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?

The description plus schema are sufficient for selecting and invoking the tool: purpose, auto-start behavior, required timeout calculation, and a conversation protocol rule are all present. It lacks explicit cross-references to sibling tools, but the tool is simple enough that this does not create a major gap.

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 100%, so the baseline is 3. The description adds no parameter-specific meaning beyond the schema; the schema already provides detailed timeout calculation guidance and wait_for_response semantics.

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?

Description clearly states a specific verb+resource: 'Have a voice conversation with the user - speak text and wait for voice response.' This distinguishes it from siblings like speak (which likely only outputs speech) and get_voice_input (which likely only captures input). The automatic browser start is additional scope context.

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 provides clear context for use: it is for voice conversation and includes a protocol rule: 'Once you start using converse, first use text AND then converse for all responses in this conversation.' It does not explicitly name alternatives or exclusion cases, but the purpose and protocol give enough guidance for selection.

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 no annotations, the description carries the burden. It discloses two key behaviors: speaking a goodbye message and stopping the browser interface. While it doesn't mention reversibility or side effects, the terminal nature of ending a conversation is well conveyed.

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 sentence of 11 words, front-loaded with the main purpose and method. Every word earns its place with 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?

Given the tool's simplicity (one required parameter, no output schema), the description is adequately complete. It explains what the tool does, how it does it, and the parameter is documented in schema. Minor gap: no mention of prerequisites or post-conditions, but overall sufficient.

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 coverage is 100% with the parameter 'good_bye' already described as 'The goodbye message to speak before ending the conversation'. The description adds no additional semantic value beyond the schema, so a baseline 3 is appropriate.

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 has a specific verb and resource: 'End the voice conversation' with clear method 'by saying goodbye and stopping the browser interface'. It clearly distinguishes from siblings like speak, converse, and get_voice_input by indicating this is the termination action.

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?

Although no explicit alternatives are named, the description clearly implies this tool is for ending the conversation, which is contextually distinct from the sibling tools. The phrase 'End the voice conversation' directly indicates the when-to-use scenario, and the method gives additional 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 no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions 'pending' and 'auto-delivered by default', but fails to describe return values, side effects (e.g., whether calling clears the queue), or whether it blocks for input. This is a significant gap for an unannotated tool.

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, front-loaded sentence that includes the core action and a useful parenthetical note. Every word earns its place, with zero 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 simple getter with no parameters and no output schema, the description conveys the basic functionality but lacks context about the delivery mechanism, what constitutes 'pending', and how this interacts with auto-delivery. It is minimally sufficient but not thorough.

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 no parameters (0 params), so the baseline is 4. The description does not need to explain parameters, and it adds no parameter-related meaning beyond the schema, but also does not detract from it.

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 'Get pending voice input from users' clearly states a specific verb (get) and resource (pending voice input). It distinguishes itself from sibling tools like 'speak' (output) and 'voice_status' (status) by focusing on retrieving input.

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 phrase '(auto-delivered by default)' implies that this tool may be used for manually retrieving input when auto-delivery is not active, but it does not explicitly state when to use it instead of alternatives like 'voice_status' or 'converse'. No exclusions or alternative tool names are provided.

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 discloses the side-effect of automatically starting the browser interface, which is useful, but with no annotations it doesn't cover return values, blocking behavior, or error conditions.

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 focused sentences, front-loaded with the action, no wasted words.

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 one-parameter tool with a clear schema, the description covers the key behavior and side effect; it's sufficient for an agent to invoke correctly.

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 already fully describes the text parameter, and the description adds no additional meaning beyond restating that text is spoken.

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 uses a specific verb 'Speak' and identifies the resource 'text using browser text-to-speech', making the action clear and distinguishing it from sibling tools like voice_status and get_voice_input.

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 implies the tool is for speaking text aloud but does not explicitly state when to use it versus alternatives, nor provide exclusions or prerequisites beyond noting the browser auto-start.

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 no annotations, the description carries full responsibility for behavioral disclosure, but it only states what data is retrieved. It does not indicate side effects, whether pending input is consumed, or any permissions. The phrase 'pending voice input' hints at state, but lacks detail.

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 concise sentence that is front-loaded with the action. It contains no fluff, though it could be slightly more informative.

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 has no parameters and no output schema, so the description minimally covers the return content. However, it lacks context about the voice system's behavior, such as whether calling this affects pending input, making it only minimally complete.

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?

There are zero parameters, so the baseline is 4. The description logically does not need to explain parameter semantics when none exist.

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 uses a specific verb ('Get') and resource ('voice system status and pending voice input'), making the tool's function clear. It partially distinguishes from sibling 'get_voice_input' by focusing on status rather than the input itself, though the overlap is not fully addressed.

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 guidance is provided on when to use this tool versus alternatives like 'get_voice_input' or 'speak'. There is no mention of typical scenarios or exclusions.

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