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

With no annotations, the description carries the full burden. It discloses guard conditions (plan must be unchanged, exact confirmation value), which is useful, but says nothing about the consequences of approval, permissions required, or reversibility of an operation that clearly triggers downstream work.

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 with zero filler; the action and its hard requirement are front-loaded where an agent will see them first.

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 guarded approval action with no annotations, no output schema, and 0% parameter coverage, the description leaves too much open: the role of 'presentation', the meaning of plan_hash, and the effect of approval are all 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?

Schema description coverage is 0% for all three required params. The description effectively explains only 'confirmation' (value APPROVE PLAN) and hints at plan_hash via 'unchanged plan', while 'presentation' is entirely undocumented in both schema and description.

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 (approve) and resource (plan), with an added qualifier ('unchanged plan') that scopes the action. It is distinguishable from sibling mutations like submit_deck_plan, though it never names an alternative 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?

Gives a clear invocation condition ('after explicit user review') and a hard precondition (confirmation string). It does not state when NOT to use it or point to a sibling for changed plans, but the context for use is explicit.

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 and does disclose two important traits: the call is paid (monetary side effect) and it is gated behind a literal confirmation value 'GENERATE IMAGES'. It leaves out what happens to existing images, whether spend is bounded, and what the call returns, so it is good but not complete.

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 cost and scope constraint front-loaded and the confirmation requirement second. Nothing is wasted.

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 output schema and no annotations mean the description is the only source of behavioral detail, and it covers cost and the confirmation gate adequately. However, it omits prerequisites for obtaining approval_token, the expected result (e.g., a job identifier for status polling), and failure modes, leaving real gaps for a 3-required-param mutation.

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?

All three parameters have 0% schema description coverage, so the description must compensate. It explains only the confirmation parameter's required value; presentation and approval_token (where it comes from, what it authorizes) are left entirely undocumented in both schema and prose.

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 (make paid image API calls) against a specific resource (slides in a deck), and scopes it to 'pending slides only'. That is enough for an agent to distinguish it from generation-preview siblings, though it never names an alternative 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 'pending slides only' clause implies the precondition for calling it, and the required confirmation string hints at a gated workflow, but there is no explicit statement of when to choose this over preview_deck_generation or mark_slide_for_regeneration. Usage is inferable rather than stated.

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, and 'No API call' is genuinely useful behavioral context: it signals a local/persisted read with no external side effects. However, it stops short of stating side effects, permissions, or whether it mutates state, leaving gaps for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the returned content before the 'No API call' qualifier. Nothing is wasted, though it is arguably terse to the point of omitting needed context.

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?

Low-complexity read tool with no output schema and no annotations. The description usefully pre-announces the return fields (stage, paths, pending slides), which partly substitutes for the missing output schema, but it does not explain the presentation identifier or expected return shape fully.

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 should compensate, but it only restates 'for a presentation' while the single parameter is literally named 'presentation'. The parameter is self-descriptive, so the marginal loss is small, but the description adds no format or identifier detail.

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?

Uses a specific verb ('Return') and names the concrete payload (persisted stage, paths, pending slides) scoped to a presentation. This clearly reads as the status-inspection tool among siblings that otherwise initialize, submit, approve, or generate. It lacks an explicit sibling call-out but the resource and scope are 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?

The phrase 'No API call' hints at when this is appropriate (cheap local/persisted reads), but there is no explicit when-to-use or when-not-to-use guidance and no named alternative. Usage is implied by the purpose rather than stated.

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 must carry the behavioral burden. It usefully discloses that the result is an 'isolated' workspace and that there is 'No API call' (a non-obvious, valuable trait). It does not say what happens on a name collision, whether it is idempotent, what files/directories it writes, or what identifier is returned for later tools.

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 resource in one sentence, followed by a short parameter note and a behavioral aside. Every sentence carries information, though the block layout (indented parameter note plus trailing sentence fragment) is slightly choppy.

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?

There is no output schema and no annotations, so the description is the only source of truth. It explains creation and scoping but never says what the tool returns (a workspace id/path?) or how that value feeds the downstream deck tools, which an agent needs to chain calls correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate, and it largely does: `visual_system` is explained as selecting a folder under visual-systems/ with an explicit default when omitted, and `input_path` is constrained to 'one Markdown file under input/'. What is missing is the exact format/expectations for input_path (relative vs absolute, extension).

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 and resource: 'Create an isolated output workspace from one Markdown file under input/.' That is far more precise than the bare tool name, and it conveys the pipeline role. It does not name or differentiate itself from siblings (e.g., 'call this before submit_deck_plan'), so it stops short of a 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?

Usage is implied by 'create ... workspace' and the per-parameter note about `visual_system`, suggesting this is the entry point of the deck workflow. However, there is no explicit statement of when to call it versus siblings like `list_visual_systems`, nor any prerequisite (does a plan need to exist? must it be called once per deck?). Guidance is inferred, not stated.

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, and it does disclose one meaningful behavioral trait: 'No API call,' implying local/cached data with no side effects, credentials, or network cost. It says nothing further about ordering, caching semantics, or failure modes, but for a parameterless read that is a reasonable amount of disclosure.

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 core purpose first and the behavioral note ('No API call') appended. Nothing could be trimmed 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 listing tool with an output schema present, the description does not need to explain return values. It covers purpose, scope, and the key behavioral fact, leaving only usage ordering unspecified.

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 is no parameter semantics to document; the baseline of 4 applies. The description correctly adds no redundant parameter talk.

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 ('List the visual systems') and adds useful scope ('available in this project') plus an output trait ('marking the default'). No sibling tool concerns visual systems, so no differentiation is needed, but the statement is crisp and 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 explicit when-to-use guidance or reference to alternatives. An agent can infer this is a lookup to run before selecting a visual system, but nothing states that, nor whether it should be called before generate_deck_images or preview_slide_prompt.

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 usefully discloses 'No API call,' signaling this is a local/queued mutation rather than a network operation, but it omits permissions, reversibility, and what happens to the slide's existing state once queued.

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 waste: the action is stated first and the behavioral caveat follows.

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 queue operation this is mostly adequate, but with no annotations, no output schema, and no parameter documentation, an agent lacks the identifier semantics and the post-queue workflow detail needed to invoke it confidently.

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 ('presentation', 'slide') are bare strings. The description adds no meaning about their format, identifiers, or relationship, so it fails to compensate for the schema 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+resource: it queues an already-generated slide for another attempt with the same brief. The phrase 'already-generated slide' implicitly distinguishes it from fresh-generation siblings like generate_deck_images, though it doesn't name any alternative directly.

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: 'another attempt with the same brief' suggests when to use it, but there is no explicit when/when-not guidance and no reference to sibling tools such as generate_deck_images or preview_slide_prompt.

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 usefully discloses that no API call is made and that it returns a pending image count and an approval token, which suggests a dry-run gated by approval. But it is ambiguous whether 'write every final prompt' mutates stored state or is purely in-memory, and no permission or idempotency behavior is described.

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 action and its outputs are front-loaded before the 'No API call' qualifier. Slight terseness borders on under-specification rather than 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?

Because there is no output schema, the description rightly reports what is returned (pending image count, approval token). It is nevertheless incomplete for a workflow-gating tool: the meaning of the sole input and the relationship to approve_plan / generate_deck_images are left 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?

Schema coverage is 0% for the single required parameter 'presentation', so the description must compensate and does not. An agent cannot tell from either source whether 'presentation' is an ID, a title, a slug, or an inline document structure.

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 concrete action ('write every final prompt') and its outputs (pending image count, approval token), which is more specific than the tool name alone. However, it never states the resource it operates on or how it differs from close siblings like generate_deck_images or preview_slide_prompt, so an agent must infer that this is a pre-generation dry run.

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 API call' hints this is a non-executing preview step, which implies it should precede generate_deck_images, but the relationship is never made explicit. There is no when-to-use / when-not-to-use statement and no mention of any prerequisite (e.g., an approved plan or submitted briefs).

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 does state a key behavioral trait: no generation occurs. It does not explain what validation checks are performed, whether the operation is read-only, error behavior, or any rate limits, but the explicit 'without generating' is a meaningful boundary.

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 single sentence is front-loaded with the core action and contains no filler words. It is efficient, though arguably too terse given the complexity of the input schema and the absence of annotations.

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 a richly nested input schema, 0% schema description coverage, no annotations, and an output schema present, this one-sentence description is insufficient. It conveys the non-generative preview nature but leaves the agent without guidance on the brief's many required fields, validation behavior, or how visual_system affects output.

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 but does almost nothing: it mentions 'one brief' and 'a visual system' only in passing, adding no meaning about structure, format, or expected content beyond what the schema already defines. The nested SlideBrief and Element types are entirely unexplained.

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 compound action: validate a single brief and return its prompt under a visual system, without generating. It clearly distinguishes itself from generation tools via 'without generating,' though it does not explicitly name or compare against siblings like preview_deck_generation or generate_deck_images.

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 'without generating' implies the tool is used when a preview is desired but image generation is not, offering implicit usage context. However, there is no explicit guidance on when to choose this over preview_deck_generation or how it fits into the sibling workflow, leaving usage largely inferred.

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, and 'No API call' is a genuinely useful disclosure that this is a local validation rather than a remote mutation. However, it does not explain what validation is performed, what happens to invalid plans, or whether the save is durable.

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, front-loaded with the core action and followed by the one behavioral fact worth knowing. 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 tool with a required free-form nested object, zero schema description coverage, and no output schema, the description is too thin — it never explains what a valid plan looks like or what the validation returns. The 'No API call' note helps but does not close the structural 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 the plan parameter is a free-form nested object with additionalProperties, so the schema gives an agent almost nothing. The description does not describe the plan structure or what the presentation identifier refers to, leaving a real 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 pair (validate and save) and resource (proposed slide plan), plus the workflow purpose (user review). It is clear what the tool does, but it does not distinguish itself from close siblings like approve_plan or submit_slide_briefs.

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 'for user review' faintly implies this is a hand-off step before approval, but no alternatives are named and no when/when-not guidance is given. Given siblings like approve_plan and submit_slide_briefs, an agent gets no routing help.

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 genuinely useful behavior: no API call, unchanged briefs retain their existing image, and changed briefs become pending. However it says nothing about failure modes for invalid briefs, whether saving is reversible, permission requirements, or how 'changed' is determined.

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 action in the first sentence and then adds the timing/behavioral detail compactly with no filler. The second sentence is dense but each clause carries information about the update semantics.

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 covers when to call it and the diff behavior, which is the most important part. It omits the structure of the nested brief payload and any indication of what the call returns or reports back, leaving a real gap for a two-required-parameter tool.

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 are required, yet the description explains neither the shape of a brief object nor what 'presentation' refers to (ID, name, slug). 'Full batch' does imply all briefs must be submitted rather than a delta, which is a useful semantic hint, but it does not compensate for the fully opaque 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 a specific verb pair (validate and save) and resource (the full batch of visual briefs), which is clearly distinct from sibling tools like submit_deck_plan, approve_plan, and generate_deck_images. It never names those siblings explicitly, so differentiation is inferred rather than stated.

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?

'Accepted after plan approval and again after generation' gives explicit timing windows for when the tool should be called, which is unusually concrete. It stops short of stating what to do instead when those preconditions are unmet (e.g., call approve_plan first) or naming an alternative tool.

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