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

With no annotations at all, the description carries the full behavioral burden and mostly fails: it never explains what the permission enum controls (notably FullAccess), whether sending is immediate or queued, or what a follow-up does to ongoing state. Only one behavioral trait (no automatic conversation selection) 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?

Two short, front-loaded sentences with zero filler; the key constraint is stated plainly and nothing is repeated.

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 3-parameter mutation-style tool with no annotations, no output schema, and a permission enum that can grant FullAccess, the description is too thin. Key details the agent needs to call it safely and correctly are absent.

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% for 3 parameters. The description hints that a conversation must be specified (relevant to conversationId) but says nothing about the message constraints or the AlwaysAsk/AskOnRisk/FullAccess permission levels, which have real safety implications.

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 gives a specific verb ('send a follow-up') and resource ('existing Doubao desktop conversation'), making the operation identifiable. The qualifier 'existing' implicitly contrasts with the create_task sibling, though no sibling is named 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?

'Does not choose a conversation automatically' implies the caller must supply an existing conversation, giving some usage context. However, it never names when to prefer this over doubao_desktop_create_task or the read/wait/status siblings, so routing remains largely inferential.

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 burden. It does disclose two genuinely useful traits: the call returns conversationId and runId, and the task result must be inspected separately (i.e. the send is asynchronous and does not block on completion). It says nothing about the permission model, whether this drives a real GUI session, latency, or failure modes when the workspace does not exist.

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 tight sentences, front-loaded with the action and scoped by the workspace constraint, with the return contract second. Nothing is padded, though the second sentence is clipped enough to read as terse rather than deliberate.

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?

No annotations, no output schema, and zero parameter description coverage, yet the description addresses only the async return pattern. For a tool that launches an autonomous desktop session with a configurable permission level, the omission of permission semantics and workspace preconditions leaves the agent without what it needs to invoke it 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 description coverage is 0% and the description explains none of the three parameters. The 'permission' enum (AlwaysAsk / AskOnRisk / FullAccess) is safety-critical — it governs how much autonomy the desktop agent gets — and is completely undocumented in both schema and description. 'existing local workspace' only loosely gestures at the workspace 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?

States a specific verb and resource ('send a new task to a real Doubao desktop conversation in an existing local workspace') and the scope constraint is explicit. The word 'new' implicitly contrasts with the sibling doubao_desktop_continue_task, but the sibling is never named, so the agent must infer the distinction from vocabulary alone.

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?

'in an existing local workspace' quietly encodes a precondition, and 'inspect task result independently' hints that the agent must follow up with doubao_desktop_read/status/wait rather than expecting a result here. However, no alternative tool is named and there is no explicit when-not guidance, so the routing is left to inference.

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 disclosure burden, and it delivers only the basic action. It does not state that this is a non-destructive read, how messages are ordered, whether pagination applies despite the limit parameter, or what happens when the conversation ID is invalid. For an unannotated tool this is a meaningful gap.

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 wastes no words. Its brevity is efficient, though it also reflects the under-specification noted elsewhere rather than deliberate tightness.

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, no annotations, and zero parameter documentation, the description should explain the return shape (message list? last N?), ordering, and the meaning of limit. None of that is present, leaving the agent under-informed for a tool it must invoke with a required ID.

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 and it largely does not. The phrase 'a specified conversation' hints at conversationId, but the numeric ID pattern (12-24 digits) is unexplained, and the limit parameter's default, maximum, and purpose (how many messages are returned) are never mentioned.

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 ('Read') and resource ('messages from a specified Doubao desktop conversation'), which cleanly separates it from write-oriented siblings like doubao_desktop_create_task. It does not, however, explicitly name or contrast itself against siblings such as doubao_desktop_sessions or doubao_desktop_status, so an agent must infer the boundary.

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 the five sibling tools, no prerequisites, and no stated preconditions (e.g., whether a task must exist or a session must be active). The agent is left to infer everything about timing and 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?

With no annotations, the description carries the full burden. It does disclose one genuine behavioral trait — that titles and messages are private user data and should be handled accordingly — which goes beyond the schema. But it never states that this is a read-only, non-destructive operation, nor anything about result format, ordering, or volume.

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, zero filler, with the primary action front-loaded before the data-handling caveat. Nothing could be cut without losing 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?

For a zero-parameter list tool the description covers the action and the privacy constraint, but with no output schema the agent is never told what a returned session contains (identifiers, titles, timestamps) or what to do with the results. Adequate but with a clear 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?

The tool takes zero parameters and the schema is empty, so there is nothing to disambiguate; baseline 4 applies. The description correctly implies no filtering input is accepted, consistent with 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?

The description uses a specific verb and resource — 'List existing Doubao desktop conversations' — which plainly tells an agent this is an enumeration tool. It does not, however, explicitly differentiate itself from siblings like doubao_desktop_status or doubao_desktop_read, leaving the boundary to inference.

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 when-to-use guidance, no mention of alternatives, and no stated prerequisite or ordering relative to doubao_desktop_status or doubao_desktop_read. The agent must guess whether this is the entry point before reading a conversation.

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 carries the full burden, but it does disclose a genuine behavioral trait: it probes the endpoint without restarting the app (non-mutating/idempotent). It omits auth requirements, what happens on failure, and the exact nature of the check.

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, the positive scope is front-loaded, and the negative constraint follows immediately. Nothing is wasted and nothing is buried.

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 no annotations, the description should ideally say what the check yields (a boolean? endpoint details? error semantics) and what to do if the endpoint does not belong to Doubao. It covers the operation's identity and non-mutation but leaves the result contract unstated.

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, so there is nothing for the description to clarify; per the rubric this is the baseline 4. The schema is empty with 100% coverage by definition.

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 ("Check") and a specific resource (whether the localhost CDP endpoint belongs to the Doubao desktop app), which is materially more precise than the bare name 'status'. It distinguishes itself from siblings like create_task/read/wait/continue_task, though it never names those siblings 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?

The clause "Does not restart it" implies this is a non-mutating pre-check you run before acting on the app, giving implied usage context. However, it never states when to prefer this over sessions or wait, nor any prerequisites for a meaningful result.

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 carries the full disclosure burden. It adds one genuinely useful caveat (a completed reply still needs independent artifact review), but omits the core blocking semantics an agent needs: whether the call blocks, what happens on timeout, and how the timeoutSeconds limit behaves.

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, front-loaded sentences with no filler; the purpose leads and the caveat follows. It is efficient, though the second sentence is a result caveat rather than core invocation guidance.

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 annotations, no output schema, and undocumented parameters, the description is too thin for a long-polling wait tool. An agent cannot tell what a return value means on timeout versus completion, nor how to size the timeout, from this text alone.

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 3 parameters. The description mentions no parameter at all, leaving runId, conversationId, and especially the timeoutSeconds bound (1-55, default 20) entirely undocumented and uncontextualized for a blocking call.

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: waiting on an already submitted desktop run. It distinguishes itself somewhat by implying the run must pre-exist (unlike doubao_desktop_create_task), but never names the sibling it competes with, notably doubao_desktop_status, which also reports on runs.

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?

'Already submitted' implies the precondition that a run must exist first, and the second sentence warns that completion is not final. However, there is no explicit guidance on when to wait versus poll with doubao_desktop_status or continue with doubao_desktop_continue_task.

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