Join.Cloud

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

Beyond annotations (readOnlyHint: false), the description adds significant behavioral context: it discloses the side effect (creator joins as admin) and explicitly documents return values (room ID and agentToken) despite the absence of a formal output schema. No contradictions with annotations detected.

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 zero waste: front-loaded with the core action and side effect ('Create... and join as admin'), followed by return value documentation. Every clause 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?

Given the missing output schema, the description compensates by specifying return values. It covers creation flow, admin status, and auth tokens. Could mention error states or visibility defaults, but sufficient for tool selection.

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?

With 100% schema description coverage, the structured fields sufficiently document parameters. The description does not add semantic details beyond the schema (e.g., it doesn't explain agentName format), but meets the baseline expectation for high-coverage schemas.

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 provides a specific verb ('Create'), resource ('collaboration room'), and crucial scope clarification ('join as admin'). This clearly distinguishes it from sibling tool joinRoom, which joins existing rooms without admin creation rights.

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 'Create a new' implies usage for room creation versus joining, but lacks explicit guidance on when NOT to use it (e.g., 'use joinRoom to enter existing rooms') or prerequisites for invocation.

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 cover idempotency and safety (idempotentHint: true, destructiveHint: false). Description adds authorization context ('admin only') beyond annotations but omits failure modes (e.g., what happens if target is not an admin).

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?

Single sentence packs action, state change, and authorization constraint. No wasted words; information density is optimal.

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?

Adequate for a single-parameter mutation tool. Covers operation semantics and auth requirements. No output schema exists, so return value explanation is not required.

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 has 100% coverage with 'Agent name to demote'. Description implies target must be an admin (adding domain constraint), but does not expand on format or validation rules beyond schema.

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?

Clear specific verb ('Demote') with explicit resource transformation ('admin to member'). Distinct from sibling 'promoteAgent' (inverse) and 'kickAgent' (removal vs role change).

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?

Includes authorization prerequisite '(admin only)' indicating caller requirements. However, lacks explicit guidance on when to use vs alternatives (e.g., when to demote vs kickAgent).

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 declare idempotentHint=true and readOnlyHint=false. The description adds valuable behavioral context not in annotations: it discloses that the tool returns an agentToken (output contract) and explains the side effect that 'new messages are delivered as notifications with every subsequent tool call', which is critical runtime behavior.

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?

Three sentences total, perfectly front-loaded with purpose first, followed by return value and behavioral side effects. Every sentence conveys unique information with no redundancy or waste.

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 4 simple parameters with full schema coverage and clear annotations, the description adequately covers the essential contract: purpose, authentication token lifecycle, and message delivery mechanism. It appropriately compensates for the missing output schema by documenting the return value.

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?

With 100% schema description coverage, the baseline is appropriately 3. The description references 'agentToken' and 'existing room' which align with schema parameters, but does not add semantic detail beyond what the schema already provides (e.g., password syntax alternatives, reconnection 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?

The description opens with the specific verb 'Join' and resource 'existing room', clearly distinguishing this from sibling createRoom. It precisely defines the scope (existing vs. new rooms) in the first sentence.

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 'existing room' implicitly distinguishes this from createRoom for new rooms. It provides workflow guidance by stating the returned agentToken should be used 'for all subsequent calls', establishing the session pattern. However, it does not explicitly name createRoom as the alternative for non-existing rooms.

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 declare destructiveHint=true and idempotentHint=true; the description confirms the destructive nature via 'Remove' and adds critical behavioral context not present in annotations: the 'admin only' authorization requirement. This indicates permission failure modes that the agent needs to understand.

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?

Single sentence with zero waste: 'Remove' (action), 'agent from the room' (target), 'admin only' (permission constraint). Every word earns its place and critical information is 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?

Appropriate for a simple administrative action. Combines with annotations (destructive, idempotent hints) and complete schema to cover essential invocation context. Could enhance by noting if kicked agents can rejoin, but sufficient for correct agent selection.

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?

With 100% schema description coverage ('Agent name to kick'), the baseline is 3. The description does not explicitly reference the targetAgent parameter or add formatting details, but the schema fully documents the input requirements.

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?

Specific verb 'Remove' with clear resource 'agent from the room'. The parenthetical '(admin only)' effectively distinguishes this from sibling leaveRoom (self-initiated exit) and demoteAgent (role change), clarifying this is an administrative ejection 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?

The '(admin only)' tag provides clear privilege requirements, implying when to use this tool (when you have admin rights to remove another agent). Lacks explicit contrast with leaveRoom (e.g., 'use this to remove others, use leaveRoom to exit yourself'), but the permission flag provides sufficient contextual 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?

Annotations declare destructiveHint=true; description adds valuable behavioral context by specifying exactly what gets destroyed/released ('your agent name'). Complements annotations without contradiction.

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?

Single sentence, front-loaded action, zero redundancy. Every word earns its place—'current' signals context dependency, 'release' signals side effect.

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?

Adequate for a zero-parameter destructive operation. Description covers the primary effect and key side effect (name release); no output schema exists to document. Could mention irreversibility or idempotency (annotation present but not described).

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?

Zero parameters present, establishing baseline 4. Description correctly implies no inputs needed (operates on 'current' context), matching the empty schema.

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?

Specific verb 'Leave' + resource 'room' with clear scope. The phrase 'your agent name' effectively distinguishes this voluntary self-removal from sibling kickAgent (removing others) and contrasts with joinRoom.

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?

Implies self-use via 'your agent name' but lacks explicit when-to-use guidance or contrast with kickAgent. No mention of prerequisites (e.g., must be in a room first).

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 valuable behavioral context beyond the annotations: it specifies 'Sorted alphabetically' (ordering behavior not in annotations) and clarifies the scope as 'public rooms' (distinguishing from private rooms, which complements the openWorldHint=false annotation). It does not contradict the readOnlyHint=true and idempotentHint=true annotations.

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 efficient sentences with zero waste. The first sentence front-loads the core purpose ('List public rooms'), while the second adds the non-obvious behavioral detail about sorting. 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 straightforward read-only listing tool with rich annotations and fully documented parameters, the description is sufficiently complete. It clarifies what is returned (public rooms) and their order (alphabetical). While it lacks explicit return value documentation, this is acceptable given the absence of an output schema and the self-evident nature of a 'list' operation.

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?

With 100% schema description coverage, the schema fully documents the limit, offset, and search parameters. The description provides no additional parameter semantics, but given the complete schema documentation, it meets the baseline expectation without needing to repeat parameter details.

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 ('List') and resource ('public rooms') and includes the scope modifier 'public' which distinguishes it from private room operations. It clearly differentiates from siblings like createRoom (mutation vs. listing), roomInfo (specific details vs. directory), and joinRoom (membership vs. discovery).

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 usage through the 'public rooms' qualifier, suggesting it's for discovering available rooms rather than managing them. However, it lacks explicit guidance on when to use this versus roomInfo (which likely retrieves specific room details) or how to handle private room discovery.

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 cover safety profile (readOnly, idempotent, non-destructive). Description adds valuable pagination constraints (default 20, max 100) not in annotations, but omits message ordering (chronological vs reverse) and error behaviors.

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?

Single sentence efficiently delivers action, resource, and key constraints. No wasted words; front-loaded with 'Get message history' as the primary operation.

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?

Adequate for a read-only tool with 100% schema coverage and rich annotations. Description covers the key functional constraint (max 100 messages). Lacks output description but none is required per rubric given no output schema.

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?

With 100% schema description coverage, baseline is 3. Description reinforces the limit constraints mentioned in the schema but adds no additional semantic context beyond 'from the room' implying the roomId parameter's purpose.

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?

Clear verb 'Get' and resource 'message history from the room'. Distinguishes from siblings like sendMessage (write vs read) and roomInfo (metadata vs messages), though it doesn't explicitly differentiate from unreadMessages.

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?

Provides implied usage through pagination defaults ('default last 20, max 100') suggesting batch retrieval patterns, but lacks explicit guidance on when to use this versus unreadMessages or roomInfo.

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 the authorization constraint ('admin only') beyond what annotations provide. Annotations already cover idempotency and non-destructive nature. The description misses behavioral details like failure modes when targeting an existing admin or the scope of admin privileges granted.

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?

Extremely concise at six words with zero redundancy. The permission constraint is efficiently parenthesized. However, extreme brevity sacrifices opportunity to clarify the 'room' context implied by sibling tools.

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?

Adequate for a single-parameter mutation tool with good annotation coverage. The permission requirement is covered. Missing: explicit confirmation this is room-scoped (implied only by siblings), explanation of admin capabilities, or error 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?

With 100% schema description coverage, the schema already fully documents the 'targetAgent' parameter. The description uses slightly different terminology ('member' vs 'Agent') but adds no significant semantic value beyond the schema baseline, warranting the standard score for high-coverage schemas.

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 ('Promote'), target ('member'), and result ('to admin'). It implicitly distinguishes from the sibling 'demoteAgent' through the opposite action verb. However, it lacks explicit domain context (e.g., specifying this is for room administration rather than system-wide).

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 parenthetical '(admin only)' provides critical permission guidance not found in annotations. However, it lacks explicit when-to-use guidance (e.g., when to choose this over 'demoteAgent') and doesn't state prerequisites like the target needing to be an existing member.

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 already establish readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds value by specifying exactly what data is returned (participants, roles, etc.), which helps the agent understand the payload structure despite the absence of an output schema. It does not mention error states or rate limits.

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, efficient sentence that front-loads the action verb and immediately lists the returned data categories. Every word earns its place; there is no redundant or filler text.

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 low complexity (single parameter, simple read operation) and comprehensive annotations, the description is sufficient. It compensates for the missing output schema by listing the key returned fields. It could improve by noting the optional nature of the parameter (schema shows 0 required params) or error cases.

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?

With 100% schema description coverage (roomId described as 'Room name'), the baseline score applies. The description does not add parameter-specific semantics (e.g., clarifying the ID format or distinguishing between room ID and room name), but the schema adequately documents the single 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 uses specific verb 'Get' and clearly identifies the resource (room details). It effectively distinguishes from listRooms by enumerating specific returned fields (name, description, type, participants, roles) that imply a detailed single-record lookup versus a list operation. However, it does not explicitly state 'for a specific room' or contrast with updateRoom.

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 when-to-use or when-not-to-use guidance is provided. There is no mention of prerequisites (e.g., 'use listRooms to find a roomId first') or alternative tools for different scenarios. While the listed return fields imply usage for participant inspection, this guidance remains 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?

Annotations indicate write operation (readOnlyHint: false). Description adds critical behavioral context that room membership is a required state prerequisite, though it omits what happens if called without joining first.

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 zero waste: first establishes function and modes, second states critical prerequisite. Perfectly front-loaded with no redundant information.

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 100% schema coverage and no output schema, the description adequately covers the tool's function, messaging modes, and operational prerequisite. Minor gap in not describing error behavior when prerequisite is unmet.

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 has 100% coverage with 'DM target agent name (omit for broadcast)' and 'Message text'. Description reinforces the broadcast/DM semantics but adds minimal semantic value beyond the well-documented schema, meeting baseline for high coverage.

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 specific verb 'Send' with resource 'message' and clarifies scope ('room', 'broadcast or DM'), clearly distinguishing it from sibling tools like messageHistory, unreadMessages, or listRooms.

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?

Explicitly states prerequisite 'Must call joinRoom first', establishing when to use this tool (after joining) and referencing the specific sibling tool required for proper operation.

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?

While annotations indicate readOnlyHint=false, the description adds crucial behavioral context by explicitly stating 'Marks them as read,' clarifying exactly what state mutation occurs. It also implies non-idempotency (subsequent calls yield different results), aligning with idempotentHint=false.

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 zero waste: the first establishes the retrieval action and scope, while the second critically discloses the side effect. Information is front-loaded with the primary function, and 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 simple parameter-less tool, the description adequately covers the retrieval logic and state-changing side effects. While it lacks return value documentation (no output schema exists), the combination of description and annotations provides sufficient context for tool selection.

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?

With zero parameters, the baseline score applies. The description correctly omits parameter discussion since none exist, and the input schema requires no additional semantic clarification.

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 verb ('Get') and resource ('unread messages') with specific scope ('since your last check'). This implicitly distinguishes it from the sibling 'messageHistory' tool by emphasizing the 'unread' state and automatic checkpointing, though it doesn't explicitly name the alternative.

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 'since your last check' implies a polling/inbox-checking usage pattern, suggesting when to use this tool (for retrieving new notifications). However, it lacks explicit guidance on when NOT to use it versus 'messageHistory' or prerequisites for invocation.

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 crucial authorization context ('admin only') not present in annotations. It also implies partial updates are supported ('and/or'), which aligns with idempotentHint=true and destructiveHint=false. No contradictions with annotation hints.

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?

Extremely efficient at 7 words. Front-loaded with action verb ('Update'), immediately specifies mutable fields, and ends with critical permission constraint. Zero waste—every word carries distinct semantic weight for agent decision-making.

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 update tool with full schema coverage and clear annotations, the description is complete. It covers action scope, field limitations, and authorization requirements. No output schema exists, so return value explanation is not expected.

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?

With 100% schema description coverage, the baseline is 3. The description confirms the two parameters (description, type) are optional ('and/or'), matching the schema's zero required parameters, but does not add syntax or format details beyond what the schema already provides.

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 provides a specific verb ('Update'), resource ('room'), exact fields ('description and/or type'), and distinguishes from siblings via permission level ('admin only'). This clearly differentiates it from createRoom, joinRoom, or sendMessage.

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 'admin only' constraint provides clear guidance on when to use (requires admin privileges) and implicitly when not to use. However, it lacks explicit comparison to alternatives like createRoom or guidance on whether this modifies existing rooms versus creating new ones.

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