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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is fully covered. The description adds only the word "public" — it doesn't say what happens when the author doesn't exist or is private, nor does it note rate/visibility limits, so value beyond structured fields is minimal.

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 first sentence is front-loaded and efficient. The trailing "Returns: The profile." earns nothing, since an output schema already exists and the statement conveys no 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 single-parameter read tool with full annotation coverage, a documented parameter, and an output schema, the definition covers the essentials. Minor gaps (not-found/private-author behavior) are tolerable at this complexity.

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 100% and the single `author` parameter is documented with concrete formats (user ID, handle with or without @, profile URL). The description adds nothing on top of that, so the baseline 3 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+resource ("Get an author's public profile") that an agent can clearly distinguish from siblings like list_author_models or get_model. It does not explicitly name those siblings, but the resource boundary 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?

No guidance on when to use this versus list_author_models or search_models, no prerequisites, and no exclusions. The agent must infer usage from the tool name alone.

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 beyond the readOnly/idempotent annotations by disclosing the 24-hour URL lifetime and the partial-failure model: paid or club-only files return an `error` per file while others still succeed. That per-item failure semantics is exactly the kind of thing an agent needs. It stops short of saying anything about auth requirements or throttling.

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 core capability and its 24-hour lifetime are front-loaded, and the failure caveat follows logically. The trailing 'Returns:' block largely restates what the output schema already declares, so it doesn't fully earn its space.

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 an output schema, full parameter documentation and annotations present, the description's job is to add the non-structured context — which it does via TTL and partial-failure behavior. Auth/permission requirements for downloading remain unstated, which is the main remaining gap for an openWorld network 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 coverage is 100% — both `model` and `file_ids` are documented in the schema, including that omitting file_ids returns all files. The description adds no syntax or format detail beyond that, so the baseline 3 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: 'Get direct download URLs ... for a model's files,' plus a key qualifier (24-hour validity). This is clearly distinguishable from siblings like list_model_files, which the definition implicitly complements by being the source of file IDs.

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: the reader infers you call this after obtaining file IDs. There is no explicit statement of when to use this versus list_model_files, nor any prerequisite or rate-limit guidance, though the paid/club-model caveat helps set expectations.

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 openWorldHint, so the safety and idempotency profile is covered. The description adds the useful fact that this is the "full card" surface (as opposed to a summary), but says nothing about failure behavior for an unknown ID, URL-vs-ID resolution, or rate limits. The trailing "Returns: The model details." line is vacuous rather than informative.

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 opening sentence is dense and well front-loaded with real content. However, the "Returns: The model details." stanza is pure filler that repeats the first sentence's premise and occupies roughly a third of the text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and full schema coverage on the one parameter, the description only needs to characterize scope, which it does by naming the card's constituent parts. It is nearly complete; the main omission is any hint about behavior when the supplied ID or URL does not resolve.

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 100% and the single "model" parameter is already documented as an ID ("3161") or model page URL. The description adds no additional meaning about the parameter, so the baseline 3 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?

The description gives a specific verb and resource ("Get a model's full card") and enumerates the payload it returns: description, tags, category, license, print parameters, images, remixes. That enumeration implicitly separates it from list-oriented siblings like search_models and list_model_files, but no sibling is named explicitly, 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?

There is no statement of when to call this versus search_models, list_author_models, or list_model_files, and no note on prerequisites such as needing a valid ID first. The only implied usage comes from the schema's single required "model" parameter; the description text itself offers no routing guidance.

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

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

The annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds one useful behavioral fact beyond that: results are paginated and each response carries a next-page cursor. It does not mention ordering effects, result limits, or what an empty page means, so 3 is appropriate rather than higher.

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 the core action front-loaded and the return shape second. The "Returns" block is somewhat redundant given an output schema exists, but it costs little and remains well ordered.

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 read-only, idempotent paged-list tool with a full output schema, the definition covers what the tool returns at a level the output schema can expand on. The missing piece is the relationship to search_models and any guidance on ordering semantics, which keeps it below 5.

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 50%: author formats and cursor provenance are documented in the schema, while limit and ordering have no description at all. The tool description adds no parameter information whatsoever, so it fails to compensate for the undocumented half — notably the six enum ordering modes and the 1-100 limit bounds are left 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?

States a specific verb and resource ("List models published by an author") and adds the paging scope, which clearly separates it from get_model or list_model_files. It does not, however, name or differentiate itself from the closest sibling, search_models, so an agent must infer that this is the browse-by-author path rather than the query path.

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?

"Page by page" hints at the pagination workflow, but there is no statement of when to choose this tool over search_models or get_author, and no prerequisites or exclusions. The agent is left to infer usage entirely from the tool name.

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 readOnly, idempotent and openWorld, so the safety profile is covered. The description adds useful non-annotated context: the result is the complete category set ('All categories'), returned with full paths, which tells the agent it is a full enumeration rather than a paginated or filtered view.

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 core sentence is front-loaded and dense with useful information. The trailing 'Returns: All categories.' largely restates what was already said in 'List all model categories', a minor redundancy that keeps it from a 5.

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 no-argument enumeration tool with an output schema, annotations covering safety, and an explicit pointer to its downstream use, nothing an agent needs in order to call it correctly is missing.

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 the schema needs no explanation; baseline applies. The mention of category_id refers to the sibling's parameter, not this tool's, so it adds routing value but no parameter semantics here.

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 ('List all model categories') plus the payload detail ('with their full paths'), which no sibling offers. It also names the downstream consumer, search_models(category_id=...), so the agent can place it relative to the sibling set immediately.

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 concrete use case: call this first when you need a category_id to pass to search_models. That's a real when-to-use signal tied to a named sibling. It stops short of explicit exclusions (e.g., when list_licenses or get_model is the right call instead), so not 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 readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered and the description carries a lighter burden. 'Returns: All licenses' usefully signals an unfiltered, unpaginated full enumeration, but nothing is said about ordering, caching, or whether the catalog is stable across calls.

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 lines, front-loaded with the purpose and the downstream consumer of the returned IDs. The 'Returns: All licenses' line is terse and adds the completeness signal rather than padding.

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?

A zero-parameter list tool with an output schema and full annotation coverage needs very little prose, and this description delivers the essentials plus the search_models linkage. Minor gap: it does not state that the result set is small/complete enough to use without further pagination calls.

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, which is the baseline-4 case per the rubric; the description correctly implies a no-argument enumeration. The only added meaning ('All licenses') reinforces that no filter arguments exist.

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

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

Specific verb+resource ('List the licenses models are published under') with a clear scope statement, and it explicitly ties itself to the sibling search_models by naming the license_ids parameter it feeds. An agent can distinguish this from list_categories or list_author_models 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?

The pointer that IDs feed `search_models(license_ids=...)` gives an explicit downstream workflow, which is real usage guidance rather than a restatement of the name. It stops short of stating when not to call it (e.g. that no filtering or pagination is offered), so it is clear context without exclusions.

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 openWorldHint, so safety and reproducibility are covered. The description adds which attributes accompany each file (sizes, G-code metadata), which is useful, but the closing "Returns: All files of the model" is vague and duplicates both the opening sentence and the output schema.

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 core capability and the URL alternative are front-loaded in two short sentences. The trailing "Returns:" block restates the first sentence and the output schema, so it is mild dead weight rather than a structural flaw.

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 a full output schema, complete annotations, and a fully documented single parameter, the description only needs to convey scope and sibling routing, which it does. The G-code metadata note is a genuine value-add not visible from the schema 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 coverage is 100% and there is a single required parameter whose schema description already gives accepted forms ("Model ID (\"3161\") or model page URL"). The description adds nothing about the parameter, so baseline 3 is appropriate.

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 ("List every downloadable file of a model") and adds the distinguishing payload details: file sizes and, for G-code, printer/material/slicing parameters. This separates it cleanly from get_download_links and from the model-listing siblings.

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 names the alternative and the condition that selects it: use `get_download_links` to obtain the actual URLs. An agent knows this tool enumerates files and does not resolve download URLs, which is the key routing decision here.

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 openWorldHint, so the safety profile is covered. The description's only added behavior is that results are paged and include a total count, which is somewhat useful but also available via the output schema.

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 lines, purpose front-loaded, no filler. The 'Returns' block is slightly redundant given a declared output schema but is not wasteful.

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?

A 9-parameter search tool with two enums, a null-able tri-state filter and pagination needs guidance the description does not give — e.g. how limit/offset interact, what 'paid includes club-only models' implies, or when to set has_makes. Annotations and output schema cover part of the burden, but the description is thin for this complexity.

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 description says 'optional filters and pagination' without naming a single filter, ordering mode, or the limit cap. With schema coverage at 67% (ordering, limit and published_within_days carry no descriptions), the description does not compensate for the 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 and resource ('Search Printables models by text') plus the breadth of filtering, which separates it from get_model (single fetch) and list_author_models (author-scoped listing). No sibling is named explicitly, 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?

There is no statement of when to prefer this over list_author_models or list_model_files, and no prerequisites or exclusions. Only the implicit cue that a text query is required hints at usage.

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