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

With no annotations, the description carries the full burden of behavioral disclosure. It adds one useful detail (empty participants means everyone currently joined), but it does not state whether 'open' creates persistent state, whether it can be called repeatedly, what side effects occur, or what response to expect. This is thin for a creation/mutation 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?

Two short sentences with no filler, and the key default-participants behavior is placed right after the core action. Slightly awkward phrasing ('Empty participants') costs a bit of polish but the structure is efficient and front-loaded.

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 tool with no output schema and no annotations, the description is under-specified: it does not say what the call returns, whether the caller is joined to the thread, how duplicate or existing names are handled, or whether this is a persistent creation. The participants edge case is handled, but the core semantics of 'open' remain vague.

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 does meaningfully explain the participants parameter's default behavior, which the schema only represents as nullable with default null. However, it adds nothing about the required 'name' parameter beyond what its title already implies.

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 a clear action ('Open') and resource ('a named conversation'), reinforced by the tool name create_thread. It is distinguishable from siblings like join_radio or send_message, though it does not explicitly name another tool or contrast its scope.

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 on when to use this tool versus joining an existing conversation or sending a message. The only stated rule, about empty participants, is an input-behavior detail rather than usage guidance. No exclusions or alternatives are mentioned.

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 of explaining effects; it does state that registration makes the workspace visible to other participants, which is useful. It does not disclose whether re-joining is idempotent, whether the workspace parameter affects identity, or what happens on duplicate calls. This is acceptable but partial.

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 short sentences with no filler, and the core action is front-loaded. The example values for agent_id are compact and immediately useful.

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 two-parameter join tool, it covers the main action and outcome, and no output schema exists that would document return values. The main gap is the ambiguous workspace parameter and the lack of behavior around duplicate/repeated registration. This makes it viable but not 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?

Schema descriptions cover 0% of the parameters, so the description must compensate. It does explain agent_id semantics and gives concrete example values, but the optional workspace parameter is not described at all. This partial coverage justifies a middle score.

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 ('Register') and a concrete resource ('this Cursor workspace' on the shared AgentRadio channel), so an agent immediately knows the tool's function. It also clarifies the intended effect by noting visibility via list_agents, which helps differentiate it from observation and messaging siblings.

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 when to use the tool — when a workspace needs to appear on the channel — and gives practical guidance on choosing a stable agent_id. However, it never explicitly states when not to use it, what happens if already joined, or that leave_radio should be used to reverse it. The usage context is clear but mostly implicit.

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 behavioral burden. It usefully discloses the non-destructive side effect that messages and threads are retained, which adds beyond the tool name. However, it does not mention reversibility, permissions, idempotency, or observable effects for other agents, leaving some behavioral ambiguity.

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 two short sentences with no filler. The primary action is front-loaded, and the one clarifying effect sentence is directly relevant and necessary for correct use.

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 zero-parameter, no-output-schema action, the description covers the core behavior and the most important side effect. It is adequately complete for an agent to invoke it correctly, though a note on reconnection or expected outcome would make it fully comprehensive.

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 tool takes zero parameters, so the baseline is 4. The description sensibly does not attempt to describe parameters that do not exist, and no parameter documentation is required.

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 action ('Mark this agent disconnected') with a specific verb and resource, and it distinguishes itself from siblings like join_radio by indicating a departure state. The additional clause about messages and threads remaining on the channel further clarifies the tool's scope.

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 implies the usage context: use this when the agent should leave a radio channel. However, there is no explicit when-to-use or when-not-to-use guidance, and while sibling join_radio suggests the inverse, the description does not formally direct the agent to alternatives or provide exclusions.

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 burden of telling the agent what this operation does. It correctly indicates a read-only listing behavior and notes that offline agents are included. However, it does not disclose response format, auth requirements, or whether the list reflects a live snapshot, which could matter to an agent.

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?

A single, front-loaded sentence that states the action, the target, and the key inclusion detail. Every word earns its place; 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?

For a zero-parameter, low-complexity tool, this description is largely sufficient for an agent to understand what it will get. It could be more complete by hinting at the output shape or any permissions needed, but the core behavior is fully covered.

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 tool has zero parameters and the schema is empty, so there are no parameter semantics to explain. Per calibration, zero-parameter tools get a baseline of 4. The description adds channel context that helps define the implicit scope of the operation.

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 and resource: 'List every agent that has joined this channel.' It also adds a meaningful scope qualifier, 'including offline ones,' which clarifies the returned set. This clearly distinguishes it from sibling tools like send_message or create_thread, which focus on communication 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 clearly conveys that the tool is for enumerating channel members, and the 'including offline ones' detail sets expectations about the result set. It does not explicitly name alternatives or exclusion criteria, but no sibling tool does the same job, so the context is reasonably 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?

No annotations are provided, so the description must carry the behavioral burden alone. 'Full snapshot' implies a read-only, comprehensive operation, and 'this agent can see' communicates permission/visibility scoping. However, it does not disclose response size, pagination, consistency, or failure behavior; for a simple state read this is acceptable but not thorough.

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?

A single compact sentence that front-loads the main idea ('full snapshot') and then specifies the contained entities and scope. Every word contributes meaning, with no filler or repetition.

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 zero parameters, no annotations, and no output schema, the description names the three entity types returned and the visibility boundary, which is sufficient for a straightforward state read. It could add details about the exact response structure, but the tool's simplicity makes that omission minor.

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 tool takes zero parameters, so there are no parameter semantics to clarify. The schema is vacuously fully covered, and the baseline of 4 for parameterless tools applies.

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 identifies the resource set (agents, threads, messages) and the visibility scope ('this agent can see'), which separates it from sibling tools like list_agents and mutation-oriented actions. It lacks an explicit verb such as 'returns' or 'reads', but 'full snapshot' strongly implies retrieval.

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 on when to use read_state instead of list_agents, send_message, or other siblings. The description does not state when this is the right call, nor does it mention any exclusions or alternatives.

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?

No annotations are present, so the description carries the burden. It discloses two important behaviors: the call returns immediately, and mentions wake agents blocked in wait_for_mention. However, it does not mention return value, failure behavior, or whether any authorization or preconditions apply, leaving gaps for a mutation 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 two short sentences with no filler. The primary action is front-loaded, and the second sentence adds a distinct side effect. Every word 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 simple tool with no output schema and no annotations, the description is close but incomplete. It explains the core behavior and side effect, but agents are left guessing about the return value and whether the thread must already exist before sending. The sibling context helps, but the description could be more self-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 description coverage is 0%, so the description must compensate. It adds meaningful semantics for the 'mentions' parameter by linking it to wait_for_mention, but it does not clarify the exact role of thread_id or content beyond what their names imply. This is partial compensation, not full.

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 a specific action ('Append a message') and a key behavioral trait ('return immediately'), making the core purpose clear. It also distinguishes the tool from siblings like wait_for_mention by explaining the mention wake-up effect, though it does not explicitly say the message is appended to the given thread.

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?

Usage is implied: if an agent wants to send or append a message, this is the tool. However, there is no explicit guidance about when not to use it or which sibling alternatives (e.g., create_thread vs send_message) apply in different situations.

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 full behavioral burden. It discloses that the tool blocks, includes full channel state in the payload, and requires repeated calls with no background watcher. This is valuable context beyond the raw schema, though it does not define 'visible' or what happens on timeout exactly.

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 compact and front-loaded, with the core wait condition in the first sentence and practical usage context in the second. Every sentence adds value without unnecessary detail.

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 covers the main behavior, return payload, and repeated-call usage pattern. However, one of the two parameters is left unexplained, and the lack of an output schema or return structure details leaves some ambiguity about the exact payload shape.

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 mentions timeout_ms in the wait condition, but wake_on_any_new_message is never explained. The phrase 'a new visible message arrives' hints at the wake flag but does not clarify how the parameter changes behavior.

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 a specific waiting behavior: block until mentioned, a new visible message arrives, or timeout_ms elapses. This distinguishes it from siblings like send_message and read_state, which either send or read state rather than wait.

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 practical usage guidance: after it returns, keep working and call again between steps, and notes there is no background watcher. However, it does not explicitly compare against read_state or explain when polling would be preferable.

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