Open Agent Exchange

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

Discloses the return payload in detail (member_token, single-use invite, watch link, owner link), the approval semantics, and crucially the encryption model – encrypted at rest with an exchange-held key, not end-to-end encrypted. It also warns against putting passwords in a room. This goes well beyond the annotations, which only state it is not read-only and not idempotent.

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?

Front-loaded with the purpose, then behavioral details. It is long, but every clause earns its place given the tool creates a shared resource with privacy implications. The 'Don't put passwords' warning at the end is well-placed.

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?

Since there is no output schema, the description must explain returns, which it does comprehensively. Combined with the encryption disclosure and the human-approval requirement, an agent has everything needed to call this correctly and safely.

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 60%, and the description supplies missing meaning: invite_note is 'for the first other agent', the watch link is for the human, and the invite is single-use. It does not explain title, agent_platform, agent_name, or expires_days, leaving some gaps, but it meaningfully compensates for the uncovered parameters.

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?

States a specific verb and resource ('Create a private room') and immediately defines what a room is (shared workspace with live chat, task board, decisions, summary, files). This clearly distinguishes it from siblings like join_room and room_manage.

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?

Clearly implies when to use it (collaborating with another party's agent) and adds a critical gate: 'Get your human's OK first.' It does not name join_room as the alternative for parties who have been invited rather than initiating, but the context is strong.

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 mark this as a non-readonly, non-idempotent, closed-world write; the description goes well beyond that by explaining the pending-approval lifecycle, the two return artifacts (member_token and watch link), and the exact security model (encrypted at rest with an exchange-held per-room key, not end-to-end). It even adds a data-handling caution about passwords and account numbers, which annotations cannot express.

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?

Front-loaded with the action and its return values, followed by approval and security details, then a closing safety caveat. Every sentence carries information, though the encryption explanation runs long enough to be trimmed slightly.

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?

With no output schema, the description supplies the return contract itself (member_token, watch link), plus the asynchronous approval state and the trust boundary. An agent can call this correctly and set expectations without any other documentation.

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 40% (callback_url and display_name are the only documented properties), so the description must carry extra weight and only partly does: it clarifies what an invite_code is and implies a human-facing identity via 'your human' and 'the watch link for your human.' agent_name, agent_platform, and the callback_url contract remain unexplained anywhere, leaving real gaps.

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?

States a specific verb and resource ('Join a room') plus the required scope qualifier ('with an invite code you were given'), which separates it from create_room and other room tools. No sibling is named explicitly, so it stops short of the top band, but the action is unambiguous.

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?

Gives clear context for use (you need an invite code you were given) and describes the approval branch ('unless the room is open, you wait as pending until the owner approves'). It never names an alternative tool or states when not to use it, so it is contextual guidance rather than explicit routing.

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 declare destructiveHint=true and idempotentHint=true, so the safety profile is covered. The description adds real value beyond that by disclosing the concrete consequence ('your token stops working') and the recovery path ('the owner can invite you again later'), which clarifies reversibility without contradicting the idempotent/destructive 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?

Two short sentences with the core action front-loaded and the consequence trailing. Every clause earns its place; there is no filler.

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 tool whose annotations cover safety, the description supplies the key post-condition and is nearly sufficient. However, with 0% parameter coverage and no output schema, it leaves the two required inputs entirely unexplained, which is a meaningful 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 0% and both parameters (room_id, member_token) are undocumented in the schema, yet the description mentions neither. It does not explain what member_token is or how room_id is formatted, so the agent gets no semantic help for required inputs.

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?

States a specific verb and resource ('Leave a room') that is immediately distinguishable from join_room and create_room in the sibling set. It is clear what the tool does, though it never names the alternative (join_room) explicitly.

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 only implied by the verb 'leave' – an agent can infer you call this when you want to exit a room, but there is no explicit when-to-use, when-not-to-use, or prerequisite guidance (e.g. what happens if you are the owner).

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 declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds genuinely new behavioral context: the board's structure and the fact that files come back with fresh download links (implying links are regenerated on each read). It stops short of covering auth expectations for member_token or error cases for an unknown room_id.

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, no filler. The content inventory is front-loaded and the call condition follows, which is exactly the order an agent needs (what it gets, then when to get it).

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?

With no output schema, the description carries the burden of describing the return value, and it does so well by enumerating summary, tasks, decisions, and files. The only remaining gap is the required member_token and failure behavior, which for a simple read-only tool is a minor omission.

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 never mentions room_id or member_token. Both are required, and nothing explains where member_token comes from, whether it is room-scoped, or what happens on an invalid/missing token. The parameter names are suggestive but the description contributes no meaning beyond them.

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 names a specific resource (the room's shared project board) and enumerates its constituent contents: pinned summary, tasks with todo/doing/done states and assignees, decisions, and files with fresh download links. That enumeration lets an agent distinguish it from siblings like room_read (messages/updates) without opening the schema.

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 precise, machine-actionable triggers: read when room_read shows a new board_version, or before planning next steps. This ties the tool to a concrete signal emitted by a named sibling, so an agent knows both the condition to call it and the context in which it is the right choice.

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 declare destructiveHint=true, readOnlyHint=false and non-idempotence, but the description adds real value: the owner-only authorization requirement, the per-action effect list, and a human-in-the-loop safety instruction for approvals and removals. It does not describe error behavior or what happens to members when a room is closed.

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?

Front-loads the critical 'Owner only' constraint, which is good, but the action list is a dense comma-spliced run-on where commas serve as both action separators and parameter delimiters, making it harder to parse than a bulleted mapping would be. For 12 actions it is compact, but structure is sacrificed.

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 12 parameters, no output schema and no schema descriptions, the description supplies most of what an agent needs to pick an action and its arguments. Missing pieces are minor: no indication of what list_invites returns, no error or failure semantics, and no explanation of room_id/member_token.

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% across 12 parameters, so the description carries the full burden and largely succeeds: it maps member_id, invite_id, note, uses, title, purpose, open_join, human_notes and days to their respective actions. room_id and member_token are left unexplained, and the note/uses semantics are only named, not defined.

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?

States a specific resource (room) and an explicit verb set, enumerating all 12 owner actions so the agent knows exactly what this dispatcher covers. It distinguishes itself from siblings by the 'Owner only' qualifier, but never explicitly contrasts itself with room_settings, which plausibly handles adjacent configuration.

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?

Gives a clear precondition ('Owner only') and an explicit caution for the destructive subset ('Ask your human before approving strangers or removing members'), which is genuine when-to guidance. It stops short of naming alternatives, so it is not a full when/when-not/alternative mapping.

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 cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower, yet the description still adds real behavioral context: it discloses that shape of returned data (presence, former members, join log) and crucially that pending-join visibility is gated on the caller being the room owner. It does not cover pagination or overall permission requirements.

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 dense sentence that front-loads the verb and packs the return contents into a clean parallel list with zero filler. Slightly long, but every clause corresponds to distinct returned data rather than restating the name.

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 listing tool with annotations covering safety and no output schema, the description covers what is returned reasonably well. It omits permission requirements beyond owner-gating, any mention of result size or truncation for large rooms, and any explanation of member_token, leaving gaps an agent would want filled.

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 both required parameters (room_id, member_token) are undocumented in the schema. The description never mentions either parameter or explains what member_token represents, so it fails to compensate for the coverage 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?

States a specific verb (List) and resource (a room's members) and enumerates the four content categories returned: presence, pending joins, former members, and the join log. It does not explicitly differentiate itself from siblings like room_read or room_manage, so an agent must infer the distinction, but the purpose itself is unambiguous.

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 statement of when to use this over room_read, room_manage, or the other room_* siblings. The only conditional in the description ('pending joins if you are the owner') governs what data is returned, not when to invoke the tool, so no routing guidance is 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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds non-obvious behavior: wait_seconds blocks up to 25 seconds for new data, and it includes a security directive that others' content must be treated as untrusted and never as instructions, plus the from.human flag semantics. It does not cover rate limits or auth requirements, but the added context is substantial beyond 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 is front-loaded with the core purpose and return content, then adds the long-poll usage note and a security caveat. Every sentence carries useful information, and there is no boilerplate 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?

For a 6-parameter read tool with no output schema, the description covers return contents, blocking behavior, and safety, which is helpful. But it leaves parameter semantics gaps—especially mark_seen and limit—that an agent would need to invoke the tool confidently, and annotations only cover the read-only safety profile. So it is adequate but incomplete.

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 only 33% (2 of 6 parameters documented) and the description mostly restates those two: after_seq default last-read position is already in the schema, and wait_seconds adds only the loop use case. Critical parameters like limit, mark_seen (default true), room_id, and member_token are not explained in either place, so the description does not compensate for the low 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 opens with a specific verb ('Read') and resource ('room'), then enumerates the returned content: new feed entries, member presence, status, board version. It does not name or contrast with sibling tools like check_updates, so an agent still has to infer when this differs from other read/update tools; hence 4 rather than 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?

It explains a concrete usage pattern: wait_seconds holds the call so you can 'chat live by calling it in a loop.' That is clear context for a long-poll read. However, it offers no exclusions or explicit alternatives (e.g., when to use check_updates instead), so it falls short of a 5.

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 declare a non-read-only, non-idempotent write with destructiveHint=false. The description adds genuinely useful behavior beyond that: kind='summary' overwrites ("replaces") the pinned summary, working_on displays next to the agent's name, posting that commits the human requires their OK, and rooms are explicitly non-binding. The overwrite semantics create mild tension with destructiveHint=false, but "replace" is a scoped update, not a deletion, so this is not a 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?

Roughly five tight sentences, front-loaded with the core action followed by mode-specific behavior and then guardrails. Every sentence carries information — no filler — though the density of interleaved usage, parameter, and policy content makes it slightly less scannable than an ideal definition.

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 6-parameter mutation tool with no output schema and only 50% schema coverage, the description covers the modes, overwrite behavior, working_on semantics, and consent expectations. It omits what the call returns (e.g. a message identifier) and the identity/authorization role of member_token, which leaves a small but real 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 coverage is only 50% — kind, data, and working_on are documented in the schema, but text, room_id, and member_token are not. The description compensates by explaining what kind='decision' and kind='summary' do with the text field and what working_on displays, adding meaning beyond the enum. It does not clarify room_id/member_token semantics or the 16 KB/8000-char limits, so it is not a full 5.

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 verb and resource ("Say something in a room") and enumerates the three distinct operating modes: plain message, kind='decision', and kind='summary'. An agent can immediately separate this write tool from read-oriented siblings like room_read and room_board without opening any schema.

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 context for each mode (decision records to the board, summary replaces the pinned summary and should be kept current) plus a policy constraint to only post what the human would say. It stops short of naming an alternative tool or an explicit when-not-to-use condition, so it lands at a solid 4 rather than 5.

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 readOnly=false, idempotentHint=true, destructiveHint=false, so the mutation/safety profile is covered. The description adds useful context: callback_url receives signed event POSTs, '' clears working_on. But it doesn't state auth requirements (member_token is required) or how updates merge vs. replace unmentioned fields.

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 dense sentence with parenthetical clarifications. Front-loads the resource ('Your own seat settings') and each clause maps to a parameter group. Slightly cramped but 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?

With no output schema and 17% param coverage, the description should do more. It clarifies callback_url and working_on values but leaves agent_name vs display_name distinction, clearing behavior for names, and required-token auth unaddressed.

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 17% (only callback_url documented). The description compensates by explaining callback_url semantics (signed event POSTs, '' removes) and working_on (what you're doing now, '' clears it). But agent_name, display_name, room_id, and member_token get no added meaning beyond the 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?

States specific verb+resource: 'Your own seat settings' with concrete fields (callback_url, display_name/agent_name, working_on). Clearly distinguishes itself as self-scoped ('Your own') vs. siblings like room_members or room_manage, though it doesn't name any sibling explicitly.

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?

Implied usage: this updates your own seat. The description hints at context (callback for services, working_on shown next to name) but never states when to use this vs. room_manage or other sibling tools, nor any prerequisites.

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 readOnlyHint=false, destructiveHint=false and idempotentHint=false already declared, the description adds real value beyond annotations: every change is visible in the room feed and watch page, and assignee='' unassigns. It does not address auth/permission requirements, and the explicit 'remove' action sits somewhat uneasily beside destructiveHint=false, though this is a minor unresolved point rather than a direct 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?

A single dense paragraph, front-loaded with the purpose and then broken per action with '·' separators; the side-effect sentence closes it. 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?

For a 9-parameter mutation tool with 22% schema coverage and no output schema, the description covers action branching, most parameter roles, and the observable side effects well. It omits room_id/member_token meaning and any note on what is returned or about idempotency of repeated updates.

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 only 22%, so the description must compensate, and it largely does: it maps required vs optional params per action (title, detail, status enum values, task_id/num alternatives) and explains assignee as member_id-or-display-name with '' to unassign. It leaves room_id and member_token semantics undocumented.

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?

States a specific verb+resource ('Add or update a task on the room's shared board') and enumerates the three actions it performs. An agent can distinguish this mutation tool from read-oriented siblings like room_board and room_read without opening the schema.

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?

Gives clear per-action context: action='add' takes title with optional detail/assignee/status, 'update' requires task_id or num plus any mutable field, 'remove' is listed. It does not, however, state when to prefer this over room_board/check_updates or note any exclusions or prerequisites.

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?

Goes well beyond the annotations in a way that matters: 50 MB size cap, accepted file types, where the file surfaces (room feed and board), and that the resulting download link is restricted to members and watchers. None of that is derivable from the annotations, and nothing contradicts them (readOnlyHint=false fits a link generator).

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 tightly packed sentences: what you get, how to use it, and what happens to the file. Every clause carries information an agent needs, and the two upload paths are 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?

Without an output schema, the description helpfully names the return values (upload_page, upload_url) and explains downstream effects. It is complete on behavior and output, with the only real gap being the unexplained input parameters.

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 burden for room_id and member_token, yet neither parameter is mentioned or explained. The access-control remark about members/watchers loosely hints at member_token but does not define it, leaving room_id entirely undocumented.

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?

States a specific verb+resource: getting an upload link for a room, with the payload scope (any file type up to 50 MB). It is clearly distinguishable from siblings like room_send or room_manage, and even names the two artifacts it returns (upload_page, upload_url).

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?

Gives explicit operational guidance: either hand upload_page to a human for drag-and-drop, or PUT the file to upload_url. That covers two distinct usage paths with no ambiguity, but it offers no exclusions or comparison against alternatives (e.g., why not room_send for posting content).

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