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 meaningful behavior: it writes files to disk, embeds assets, starts a local HTTP server on a port reachable via LAN IP, and optionally copies to PUBLISH_WEB_ROOT. It omits whether an existing build is overwritten and whether serving blocks or runs in the background, so it stops short of full 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?

Front-loaded with the core verb and organized as a numbered list of outputs, so an agent can scan the deliverables quickly. Slightly verbose with parenthetical detail, but every line conveys a concrete behavior rather than 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?

An output schema exists, so return values need not be explained. For a build-and-publish tool the description covers the artifacts, hosting endpoints, and optional deploy path well; the only real gap is the unexplained deploy_static parameter.

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. It explains slug (via <slug> filenames/paths), port (localhost:<port> and LAN-IP URLs), and serve_local (default true, hosts immediately), but the fourth parameter, deploy_static, is never mentioned anywhere. Partial compensation 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 action (compile the book) and enumerates the concrete artifacts produced: a single-file HTML book, a multi-file web reader, local hosting, and optional publishing. The 'Step 4' framing places it in the pipeline, though it never names or contrasts with any sibling tool.

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 'Step 4' prefix implies it comes after project creation, storyboard saving, and image ingestion, and the serve_local default hints at typical usage. But there is no explicit when-to-use/when-not statement and no mention of the sibling alternatives it should be chosen over.

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 meaningful behavior: writes to a gitignored `.env` file and copies `main_character_photos` into `local_profile/references/`. It does not say whether omitted fields are preserved or overwritten, which is critical for a 14-parameter mutation where every field is optional.

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 core action and persistence target, then adds the photo-copy side effect. Three compact sentences with no filler, though the second sentence is slightly convoluted.

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?

An output schema exists so return values need not be described, but for a 14-parameter configuration tool with zero annotation and zero schema-description coverage, the description omits the semantics of the vast majority of settings and their null-vs-omit behavior.

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 14 parameters, and the description mentions only `main_character_photos`, leaving 13 parameters (output dirs, publish URLs, art style, book mode, port, page count, character fields) undocumented. The description does not 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+resource: 'Save or update user onboarding settings', which is clearly distinguishable from the read-side sibling get_onboarding_status. It does not, however, name any sibling explicitly to distinguish itself, so it falls 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?

No statement of when to call this versus get_onboarding_status or get_studio_profile, and no prerequisites. The implied use (configure the studio before generating books) must be inferred from the mention of 'future book'.

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?

Without annotations, the description carries the full burden. It discloses inheritance behavior from .env and automatic copying of reference photos, which is valuable behavioral context. But it omits critical details like permissions needed, what gets created (files, directories), whether it's idempotent, and what errors might occur.

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

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

The description is two sentences: a clear purpose statement and a detailed note on defaults and reference images. It is front-loaded with the main action. Slightly dense 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?

Given 8 parameters with zero schema descriptions, no annotations, and an output schema present, the description provides some context but is insufficiently complete. It explains defaults for some parameters but does not cover required parameters or overall expected outcomes (though output schema exists).

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

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

Schema description coverage is 0%, so the description must compensate. It explains that omitted mode, character_name, character_description, and page_count inherit defaults, and that reference_images are supplemented with default photos. This adds meaning for 5 of 8 parameters but leaves slug, title, and idea undefined in the 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 ('Initialize') and resource ('new bedtime picture-book project workspace'), making the purpose clear. It does not explicitly distinguish from siblings like list_existing_books or configure_studio, but the verb+resource combo is specific enough.

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 as the first step in a workflow via 'Step 1', which gives some context. However, there is no explicit when/when-not guidance or mention of alternatives, leaving the agent to infer when to use this vs other tools.

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 burden. It discloses that the tool reads `.env`, returns an `is_onboarded` flag and `agent_onboarding_instructions`, and what onboarding fields are checked. However, it does not explicitly state that the operation is read-only or has no side effects, which is a minor gap for a no-annotation 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?

Three tightly written sentences, front-loaded with the most important instruction ('Call this FIRST'). Every sentence adds necessary information: the check, the fields examined, and the conditional follow-up. No 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 the tool has an output schema, the description need not explain return values. It still provides the conditional logic for acting on the result and names the relevant sibling tool, making it complete for an agent to invoke and follow up 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?

The tool has zero parameters, so per the rubric the baseline is 4. There are no parameter semantics to clarify, and the description appropriately focuses on behavior rather than nonexistent 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 ('Checks whether the user has completed first-time onboarding in `.env`') and front-loads the invocation priority ('Call this FIRST when starting a session'). It clearly distinguishes itself from the conditional next-step sibling `configure_studio`, so an agent can tell what this tool is for 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?

Explicitly says when to use it ('Call this FIRST when starting a session') and provides a conditional alternative: if `is_onboarded` is false, follow `agent_onboarding_instructions` and call `configure_studio`. This gives the agent a clear decision path and names the alternative tool.

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 the source ('from `.env`') and the 'active' selection semantics, which is real context beyond the schema. However, it says nothing about failure modes (no profile configured), whether the file is read fresh each call, or any side effects of the read.

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 with the verb and source first, followed by the field inventory. The field enumeration is somewhat long but each item is meaningful since it defines the profile's scope.

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?

Zero-parameter read with an output schema, so return shape needs no explanation and the description is sufficient to invoke correctly. The only real gap is the unaddressed case where no active profile exists in `.env`.

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 nothing for the description to disambiguate; the baseline of 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Return the active studio profile') and enumerates exactly what the payload contains (character details, cast, art style, book mode, paths). It reads as a read-side counterpart to configure_studio, but it never names that sibling or any other, 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?

No when-to-use guidance, no prerequisites, and no alternatives are named. An agent must infer that this is the read used before configure_studio writes, or before project creation, entirely from the sibling list.

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 load, and it does disclose the meaningful behavioral trait: images are center-cropped (a lossy operation) to a fixed 1280x960 4:3 frame and written out in two formats. It does not say where files land, whether existing files are overwritten, or how invalid keys are handled, leaving some gaps.

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 step context and the input format, then lists the transformations. The inline example removes ambiguity at no real cost in length; 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?

An output schema exists, so return values need not be described, and the description covers input shape and the processing pipeline adequately for a 2-parameter write tool. Remaining gaps around output file location and overwrite/missing-key behavior are minor but real.

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 schema only shows an untyped string map, so the description must compensate — and it does, defining image_map as asset-key-to-path with a concrete example including keys like "cover" and "page-01-reality". The required `slug` parameter is never explained, which keeps this from being a 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 names a specific verb+resource (ingest generated images) and goes further to state exactly what happens to them: normalize, center-crop to 1280x960, and save as .png and .webp. No sibling tool in the list deals with image ingestion, so there is no ambiguity to resolve.

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?

"Step 3: After generating illustrations (via subagents or image tools)" gives clear sequencing and prerequisite context, telling the agent this runs downstream of image generation. It stops short of naming explicit exclusions or alternatives, so it is not a full when/when-not statement.

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, but this is a zero-parameter read operation whose safety profile is self-evident from 'List'. It discloses the directory scope and the returned fields, yet says nothing about empty results, whether the directory is created if absent, or whether listing is paginated.

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 with no filler: verb, scope, and returned payload all land in one pass. Nothing could be removed 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?

An output schema exists, so return values need no elaboration, and with no parameters and no annotations there is little else an agent needs. The only gap is the absence of any hint about when in the workflow to invoke it.

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 nothing for the description to document; the baseline for a parameterless tool is 4. The mention of BOOKS_OUTPUT_DIR is environmental context rather than a parameter, which is helpful but not required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('List'), a specific resource ('bedtime picture-book projects'), and the exact scope ('in `BOOKS_OUTPUT_DIR`'), plus what each entry contains (HTML path, local URLs). No sibling tool in the list performs a discovery/list function, so there is no ambiguity to disambiguate.

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 — an agent can infer this is the discovery step before create_book_project or build_and_publish_book, but the description never says when to call it or that it should precede project creation. No exclusions or alternatives are given, and none exist among siblings.

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. It does disclose a non-obvious side effect: saving the storyboard also generates prompts.md and the exact list of required image keys, which tells the agent this is not a plain write. It does not cover overwrite/merge behavior, validation failures, or permissions, which is a meaningful gap for a mutation tool with zero annotation coverage.

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 sentence, front-loaded with the step marker and the primary action, with the side effects appended. No filler text, though the backtick-quoted fragments make it read like a changelog line rather than prose.

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?

An output schema exists, so the return value (the generated key list) need not be explained. The remaining gap is the required nested storyboard object, which is undocumented in both schema and description; for a two-parameter mutation tool with no annotations, that leaves the agent under-informed about what to supply.

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 both parameters, and the description does not compensate. It hints that the book is identified by a slug and that the storyboard is a JSON file, but gives no indication of the storyboard object's required structure (nested, additionalProperties true) or any slug format constraints.

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 ('Save') plus the resource ('complete storyboard.json for a book') and the derived artifacts it produces (prompts.md, required image keys). An agent can tell this is the storyboard-persistence step, though it does not name or differentiate itself from any sibling tool.

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 'Step 2' prefix implies a position in a workflow (after onboarding/project creation, before image ingestion and publishing), which is useful ordering guidance. However, it names no alternative and states no explicit when/when-not condition, leaving usage to inference.

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