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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safe, local-read nature is known without the description. The description adds the useful behavioral fact that the payload covers both authorization state and token expiry, but says nothing about what happens with a missing/invalid account_key or token refresh behavior.

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 tight sentence that front-loads the core purpose (authorized?) and adds the secondary detail (expiry) without filler. Nothing to trim.

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 explanation, and the read-only annotations cover the safety profile. However, for a tool whose only parameter is undocumented in both schema and description, the definition is not quite complete enough to call confidently without inspecting the schema.

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 the single account_key parameter, and the description never mentions it — not what it identifies, what format it takes, or what an empty default means. With a non-trivial parameter fully undocumented, the description 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?

The description states a specific check (authorization status) plus a concrete detail (token expiry), which cleanly identifies the tool's job. It doesn't explicitly contrast itself with siblings like alibaba_get_authorize_url or alibaba_complete_authorization, but the resource (auth status) is distinct enough to select it.

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 infers it should call this to check whether a seller is connected or when the token lapses. There is no explicit statement of when to use this versus alibaba_get_authorize_url (to start auth) or alibaba_complete_authorization (to finish it), nor any prerequisite 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?

Annotations already declare readOnlyHint=false, openWorldHint=true and idempotentHint=false, so the mutation/network profile is covered. The description adds real value with 'store it', disclosing a persistent side effect, but says nothing about code expiry, failure modes, or what happens to an existing stored token.

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?

One sentence, front-loaded with the core action and its key side effect. Nothing extraneous.

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, and annotations cover the safety profile. The description adequately frames the flow (callback code in, stored token out), though it could name the alternative sibling to round out the picture.

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% and the single parameter has no schema description, so the description carries the burden. It compensates by explaining that `code` comes from the callback, giving the agent the origin and expected value of the parameter, though it omits format details.

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: exchange an OAuth code for an access token and store it. It is clear and action-specific, but does not differentiate itself from the close sibling alibaba_complete_authorization_from_url, which an agent would need to choose between.

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 'from the callback' implies the usage context (after the OAuth redirect returns a code), which is useful implied guidance. However it never states when to prefer this over alibaba_complete_authorization_from_url or what prerequisites exist, leaving the alternative-route decision 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?

Annotations already declare readOnlyHint=false, openWorldHint=true and idempotentHint=false, covering the safety/network profile. The description adds that it performs a code-to-token exchange, which is useful behavioral context, but says nothing about prerequisite steps (e.g. needing alibaba_get_authorize_url first) or failure handling.

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 before the usage hint. Efficient, though the URL example is slightly verbose relative to the single parameter it illustrates.

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 explanation, and the single parameter is explained. What remains unstated is the surrounding OAuth flow context (e.g. that an authorize URL must be generated first), which would help for a multi-step auth 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 0% and the schema gives only a bare string type, so the description carries the full burden. It does this well by explaining the parameter must be the whole redirected address containing `?code=...`, which clarifies format and intent beyond 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?

States a specific verb+resource (complete authorization) and explains the mechanism: extracts the code from the redirected URL and exchanges it for a token. This distinguishes it clearly from the sibling alibaba_complete_authorization, which takes the code directly, and an agent can select between them without opening either 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?

"Handy when the callback is a page like https://www.alibaba.com" gives a concrete trigger condition for choosing this tool. It does not explicitly name the alternative (alibaba_complete_authorization) or state when NOT to use it, so it stops short of full 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?

Annotations cover the safety profile (readOnlyHint=true, openWorldHint=false), and the description adds real behavioral context beyond them: the URL is meant to be handed to a human seller, approval triggers a callback redirect carrying ?code, and that code must be forwarded. It does not mention URL expiry or scope requirements, so it is not fully exhaustive.

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: the purpose first, then the hand-off flow. No filler, and the next-step dependency is front-loaded rather than 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?

An output schema exists, so the returned URL format need not be explained, and the description correctly covers the end-to-end auth hand-off. The one real hole is the unexplained `state` parameter; otherwise nothing needed to call this 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?

Schema description coverage is 0% and the description never mentions the single `state` parameter, so the agent gets no guidance on what to put there or that it is optional (defaults to empty). With a low-coverage schema the description is expected to compensate, and it does not.

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 the OAuth URL') plus the actor and scope ('the seller opens to grant this app access'). It also implicitly separates itself from alibaba_complete_authorization by naming that tool as the downstream step.

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?

Explains the operational flow clearly: send the URL to the seller, they approve, the platform redirects with a ?code, and that code goes to alibaba_complete_authorization. It names the alternative sibling and the condition for using it, though it never states when this tool should not be used (e.g. already-authorized cases).

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=false, destructiveHint=true and openWorldHint=true, so the safety profile is covered. The description adds that it 'can invoke write APIs, so it is not read-only,' which is largely a restatement of the annotations, but adds the useful token/auth caveat for public APIs. No rate-limit, error, or side-effect detail beyond what annotations give.

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 short, front-loaded sentences with no filler; the core 'call any granted API by method name' leads and details follow. Efficient and readable, though the dangling example fragment after the first sentence is slightly awkward.

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, and annotations cover the safety profile. For a 4-parameter escape-hatch tool the description is adequate on method and auth but leaves the payload and account_key semantics unaddressed.

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

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

Schema description coverage is 0%, so the description must carry the parameter burden. It explains `method` (by example) and `authorized` ('Set authorized=False for system/public APIs that need no token'), but says nothing about `params` (the request payload) or `account_key`, leaving half the parameters undocumented.

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

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

The description states a specific verb+resource: 'Call any granted API by method name,' reinforced with a concrete dotted example (`alibaba.icbu.product.get`). The phrase 'Escape hatch for testing/verifying methods' distinguishes it from the higher-level sibling tools (product_publish, product_update, etc.), 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?

'Escape hatch for testing/verifying methods' gives clear context for when this tool is appropriate rather than the curated siblings. The authorized-flag note tells the agent when to pass `authorized=False`. There is no explicit when-not guidance or named sibling to prefer in normal flows.

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 and openWorldHint, and the description usefully adds that no authorization is needed and how attr_id maps to publish schema fields. This is genuinely additive behavioral context rather than a restatement of the annotations, though it says nothing about rate limits or output shape.

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 purpose front-loaded and the edge-case caveat trailing. Slightly dense with inline identifiers but every clause carries 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 not be described; the description covers the remaining gaps an agent needs — auth requirement, the attr_id-to-publish-field mapping, and the car_model escalation path. Complete for a single-parameter read 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 0% and there is one required parameter (category_id) whose format and provenance are never explained in either the schema or the description. The description explains attribute-level semantics (attr_id, car_model) rather than the input, so it only partially compensates.

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 a category's system-defined attributes') and adds scope ('including which are required'). It distinguishes the output from the broader publish schema (icbuCatProp, p-<attr_id> mapping), though it never names a sibling tool that an agent could confuse it with.

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 one conditional routing hint ('car_model attributes need the hierarchical-attribute API for their next level') and notes the API is public, but offers no explicit when-to-use-vs-alternatives guidance relative to siblings like product_get_schema.

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=false, openWorldHint=true and idempotentHint=false, but the description adds real behavioral context beyond them: the title is auto-normalized to Alibaba title case, writes via `save_to` are confined to the server's allowed directories, and token usage is recorded (pointing at `usage_stats`). It stops short of describing failure modes or API/permission requirements for a non-idempotent, LLM-backed generation call.

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 tight sentences: output shape front-loaded, then parameter semantics, then side effects. No filler, no restatement of the name, and the parenthetical details are load-bearing.

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 the generation contract, the file-write side effect with its sandbox constraint, and cost accounting. The main remaining gap is guidance on the many unlabeled input parameters (tone, language, detail_image_count), which an agent must infer.

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 11 parameters, so the description carries the entire burden, yet it only explains three of them (brands, version, save_to). It does add non-obvious value the schema lacks — the version enum meanings (premium/lite/general) are absent from the schema, and the brand-casing rule is a real semantic detail — but tone, features, keywords, language, target_market, detail_image_count, and extra_instructions remain 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?

Specific verb ('Generate') + resource ('structured product detail') with an explicit enumeration of the produced artifact (title, highlights, image+text modules, attributes, keywords, FAQs). This sharply distinguishes it from siblings like generate_social_content and product_render_draft without needing schema inspection.

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 description gives conditional hints for individual parameters (when to pass `brands`, what `save_to` does, what `version` accepts), but never states when to choose this tool over alternatives such as product_publish_from_brief or generate_social_content, nor any exclusions or prerequisites. Usage is implied by the output artifact 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?

Annotations already declare readOnlyHint=false, openWorldHint=true and idempotentHint=false, so the agent knows output is generated, non-deterministic and externally sourced. The description adds genuinely useful context that token usage is recorded automatically and where to check it, which the annotations do not convey. It stops short of noting cost magnitude, rate limits, or latency for an LLM-backed call.

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 purpose before the token-accounting note and the platform examples. Nothing is padded, though the trailing newline-wrapped example is slightly awkward.

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. However, for an 8-parameter generation tool with zero schema coverage and no usage guidance, six parameters and the tool-selection decision are left entirely unexplained.

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 8 parameters, so the description carries the full burden and largely fails it. It supplies useful example values for `platforms` (which has no enum), but tone, features, keywords, language, variants and extra_instructions are left completely undefined in both the schema and 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?

The description states a specific verb+resource: generating platform-tailored social posts for a product, and names the underlying generator (Claude). It is distinguishable from siblings like generate_product_detail, though it doesn't explicitly contrast with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. The only routing hint is a pointer to usage_stats for token accounting, which is informational rather than usage 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?

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered structurally. The description adds the pre-publish inspection framing but says nothing about caching, freshness, or completeness of the schema, so it adds only modest context beyond annotations.

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

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

Two tight sentences, zero filler, with the subject and the required action front-loaded before the workflow advice.

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 shape need not be described, and the read-only nature is covered by annotations. The remaining gap is the undocumented parameters in an otherwise complete pre-publish helper.

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 four parameters. The description only implies category_id ("for a category") and vaguely hints at include_all ("allowed options"), leaving language, account_key, and include_all's effect 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 names a specific verb and resource ("Get the publish schema for a category") and enumerates the returned content: fillable fields, types, required flags, allowed options. It does not explicitly differentiate itself from the nearby sibling category_get_attributes, 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?

"Inspect this before publishing" gives a clear workflow trigger that ties the tool to product_publish. It offers no exclusions or named alternatives (e.g., category_get_attributes vs this), so it is context without disambiguation.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds useful behavior beyond the annotations: that the -1 sentinel switches from single-group lookup to top-level listing, and where results land (`children`). It says nothing about auth requirements, rate limits, or pagination, keeping it at a solid 3.

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 compact sentences with no filler; the primary purpose leads and the group_id special case follows. Effectively sized for a two-parameter read tool.

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-value documentation is not required, and the description sensibly stops at naming the key fields. Combined with readOnly/openWorld annotations and the -1 behavior note, an agent has enough to call it correctly; only account_key's role is unaddressed.

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

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

Schema coverage is 0%, so the description must carry parameter meaning. It explains group_id semantics well (default -1 means list all top-level), but account_key is left entirely unexplained in both schema and description, so half the parameters remain opaque.

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 ('Get') and resource ('product group') and enumerates the returned fields (name, parents, child groups), so an agent knows exactly what it retrieves. It doesn't explicitly distinguish itself from the nearby category_get_attributes sibling, which is a minor gap given the largely unrelated sibling set.

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 description does provide an actionable default behavior: passing group_id=-1 lists all top-level groups. That is real usage guidance, but it is scoped to one parameter value rather than stating when to reach for this tool versus alternatives, so guidance is implied rather than 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?

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, but the description adds substantial non-obvious behavior: auto-fill of required category attributes from product_attributes, draft semantics ('not listed live'), and that the manifest and assets are confined to the server's allowed directories. It stops short of describing failure conditions or side effects on existing products.

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 action is front-loaded in the opening sentence, followed by structured detail on the manifest, attribute auto-fill, draft mode, and result fields. Dense but each clause carries information; 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?

An output schema exists, so return values need not be explained, and the description still notes missing_required in the result. It covers manifest structure, auto-fill rules, draft mode, and directory confinement. The only real gap is the unexplained account_key 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 description coverage is 0%, so the description must carry the load. It explains draft well and explains manifest_path's contents/constraints, but account_key is entirely undocumented and manifest_path's path syntax is left implicit. Partial compensation only.

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 first sentence gives a clear verb+resource ('Publish a product from a manifest file ... creating a new product') and names the concrete artifact (product.json). This implicitly distinguishes it from product_publish_from_brief (brief vs manifest) and product_update, though no sibling is explicitly named.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It offers real guidance for one decision ('Set draft=True ... recommended for verifying a manifest') but never states when to choose this tool over product_publish_from_brief, product_render_draft, or product_update, nor prerequisites/alternatives. Usage is implied rather than framed.

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 the write/open-world/non-idempotent profile, so the description only needs to add what they don't cover. It does add real value: `brief_path` is confined to allowed directories, draft defaults to true, and warnings can be raised when fewer than 4 main images exist because AI cannot generate real photos. The enumerated return fields are largely redundant with the output schema, keeping this short of a 5.

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

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

Front-loaded with the purpose, then input modes, then brief contents, then outputs — a sensible information hierarchy with no filler sentences. It is dense for a single paragraph, but every clause contributes.

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 complex AI-enrichment tool the description covers input modes, required brief fields, defaults, and failure warnings, and an output schema exists to carry return details. The only notable gaps are the unexplained `account_key` and the absence of any note about authorization prerequisites or repeat-call 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% and `brief` is an untyped object, so the description carries the full burden — and it does, spelling out the required brief keys (description, category_id, images, price with unit/moq/tiers, facts with place_of_origin/material). It also clarifies `brief_path` and the `draft` default. `account_key` is left unexplained, which prevents a top score.

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 ('Publish a product') plus the defining scope ('from a minimal brief — the seller provides only facts; Claude enriches the rest'). This scope is exactly what separates it from the sibling product_publish, so an agent can route between them without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains how to supply input (inline `brief` or `brief_path`) and what the brief must contain, which is genuine usage context. However, it never says when to choose this tool over product_publish or product_render_draft, nor any precondition such as authorization or schema lookup. Usage is implied 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?

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the useful detail that it returns the saved field set from the draft render surface, but says nothing about scope, freshness, or failure modes when no draft exists.

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 purpose front-loaded and zero filler; the parenthetical surface reference earns its place. Slightly denser than ideal but 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 no explanation, and the read-only nature is annotation-covered. However, with 0% parameter description coverage and a required category_id left undocumented, the definition is not quite complete enough for reliable invocation.

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

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

Schema description coverage is 0%, so the description carries the full burden, yet it only explains product_id (plaintext numeric draft id). The required category_id and the language/account_key parameters are left entirely undefined in both the schema and 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 and resource: reads back a DRAFT product's saved fields, naming the underlying surface (schema.render.draft). That cleanly separates it from write siblings like product_publish and product_update, though it never explicitly contrasts with read siblings such as product_get_schema or product_group_get.

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?

"Useful to verify what a publish stored" implies the post-publish verification context, which is real usage guidance. But it never says when NOT to use it or which sibling to prefer for other product reads, leaving the agent to infer routing.

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

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

Annotations already declare idempotentHint=true, readOnlyHint=false, and destructiveHint=false, so the safety profile is covered. The description adds genuinely new context: only manifest-present fields are changed (partial-update semantics) and paths are confined to allowed directories (a sandbox/security boundary). The idempotency sentence partly restates the annotation but the rest earns its place.

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 short sentences, front-loaded with the core action and scope. Efficient, though the idempotency sentence duplicates an existing annotation hint.

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 explanation, and behavioral boundaries (partial update, path confinement) are addressed. However, with 3 parameters at 0% schema coverage, the definition is incomplete about what product_id and account_key mean or require.

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 carry parameter meaning, yet it only gestures at manifest_path via 'manifest'. The roles of product_id and especially the optional account_key (default "") are left 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?

Names a specific verb+resource (update a product) and clarifies scope with 'incrementally' and 'from a manifest', which distinguishes it from publish-style siblings like product_publish or product_publish_from_brief. No sibling is named explicitly, so it stops short of the top band.

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 description says what it does but never states when to choose it over alternatives such as product_publish or product_render_draft, nor any prerequisites. No when/when-not routing is provided.

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

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

Annotations already declare the write/openWorld/non-idempotent profile, and the description adds two genuinely new facts: the return payload {file_id, url} and the sandbox constraint that the path is confined to the server's allowed directories. That confinement note is real operational context an agent needs before calling.

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

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

Two sentences, no filler, with the action and its scope front-loaded before the return and constraint details. Every clause earns its place.

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?

The output schema covers return values so the description needn't, and the sandbox constraint closes the main safety gap. However, with three parameters at 0% schema coverage, the definition is not complete enough for an agent to confidently supply group_id or account_key.

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 only obliquely touches 'path' via the confinement sentence. The two optional parameters, group_id and account_key, are entirely unexplained in both schema and description, leaving the agent guessing how to scope the upload.

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 ('Upload one local image to the photo bank') plus the return shape. No sibling tool performs image upload, so the definition is unambiguously distinguishable from the surrounding publish/query tools.

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 description never says when to use this tool versus alternatives (e.g. read_local_media, product_publish flows) or what prerequisites it assumes. 'One local image' hints at single-file batching behavior but stops short of 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: the path must resolve inside the server's allowed directories, which is not expressed in the annotations or schema. It stops short of describing failure behavior for disallowed paths or size limits.

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 action and its returned fields, with the restriction second. Nothing is padded, though the second sentence could sit naturally alongside the parameter rather than in the body.

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-value detail is unnecessary, and the description covers the key operational constraint for a single-parameter read tool. Only the handling of disallowed or nonexistent paths remains unaddressed.

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

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

Schema description coverage is 0%, so the description must carry the parameter burden with one required 'path'. It contributes only the confinement rule and no format, relative-vs-absolute, or extension expectations, so it partially compensates but leaves real ambiguity about accepted path syntax.

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 ('Inspect') and resource ('local image or video') and enumerates what it returns: type, size, and image dimensions. It is clearly distinguishable from read-family siblings like read_price_file and from the video_* tools, though it never names or contrasts them 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?

No when-to-use guidance, no prerequisites, and no mention of alternatives such as video_query or video_list_related. The only contextual note is the path confinement, which is a constraint rather than usage 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is known. The description usefully adds that the path is confined to the server's allowed directories and that input is normalized into rows, but says nothing about malformed files, missing files, encoding, or size limits.

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 action and supported formats, with the constraint appended. 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?

An output schema exists, so return values need not be documented, and annotations cover the read-only nature. Combined with the format and path-scope statements, the definition is nearly complete for a one-parameter read tool; only error/failure behavior is unaddressed.

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

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

Schema description coverage is 0% for the single 'path' parameter, so the description carries the burden. It adds one meaningful constraint (the path must fall inside the server's allowed directories) but does not clarify whether the path is absolute or relative, or how the CSV/JSON format is detected.

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 (read) plus resource (prices) with the accepted inputs (CSV or JSON) and the output shape (normalized rows) all stated. It is clearly distinguishable from siblings such as read_local_media, which reads media rather than price files.

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 description implies when it applies (you have a local price file) but never states when to prefer it, any prerequisites, or what alternatives exist if the data lives elsewhere. No exclusions or routing guidance are offered.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful context that the numbers come from a local usage log, but says nothing about log coverage, staleness, or cost-model assumptions. With annotations carrying the safety burden, this is adequate rather than rich.

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 zero filler; the purpose and scope come first and the parameter contract follows. Every clause carries information an agent needs.

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, and the description covers the data source, all filters, and the grouping dimension. The only gap is not stating the default group_by=day or what an unfiltered call returns, which matters for a zero-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%, so the description must carry the load, and it does: it names all four parameters, marks model/label/since_iso as filters, flags ISO-8601 format, and supplies the group_by value set day|model|label that the schema does not declare as an enum. It omits defaults (group_by defaults to day) and empty-string semantics, so it falls short of full compensation.

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 (report) and resource (AI token usage and estimated USD cost), and pins the data source with 'from the local usage log'. No sibling tool overlaps with usage/cost reporting, so an agent can select it unambiguously.

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 the reporting purpose and the filtering instructions, but the description never states when to reach for this tool versus other options or any exclusions (e.g. remote vs local accounting). It gives filtering mechanics rather than selection 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?

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds no behavioral context beyond that: no pagination, result count, rate-limit, or auth behavior. The type/videoId distinction is parameter semantics rather than behavioral 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 with the purpose front-loaded and no filler. The second sentence is terse to the point of being cryptic, but 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. However, with 0% schema coverage on three parameters, no required-parameter guidance, and no usage context, an agent still lacks what it needs to invoke this 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 description coverage is 0%, so the description carries the full burden, and it only partially compensates. It clarifies `type` by contrasting "videoId" (main) and "detailVideoId" (detail), but says nothing about what `video_id` accepts or what `account_key` is for, leaving two of three parameters 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?

The description gives a specific verb and resource: list product ids related to a video. An agent can tell what it returns. It does not distinguish itself from the sibling video_relate_product (the likely write counterpart) or from video_query, 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?

There is no statement of when to use this tool versus video_query or video_relate_product, and no prerequisites or exclusions. The only contextual hint is the parenthetical explaining which id the two `type` values refer to, which is parameter detail rather than usage 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?

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds a genuine behavioral constraint (paging params are required) and the shape of each returned item (has a `video_id`), but says nothing about rate limits, filtering scope, or whether results are exhaustive.

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 short sentences, no filler, with the core purpose front-loaded before the paging detail. The example is compact and directly actionable.

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 re-explained, and the tool is simple (2 params, no required fields). However, the description leaves open what 'query' actually filters on and never accounts for `account_key`, so it is only minimally sufficient for correct invocation.

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% and the schema only shows `params` as an opaque anyOf object, so the description carries the load: it names the concrete keys (current_page, page_size) and their example values, which is meaningfully more than the schema. The `account_key` parameter remains unexplained, keeping this short of 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?

States a specific verb+resource ('Query the seller's videos') and adds the intent ('to find video ids'), which is more than a restatement of the name. It does not explicitly contrast with siblings like video_list_related or video_relate_product, so the differentiation is left implicit.

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 description gives a concrete calling pattern ('Requires paging params, e.g. params={"current_page": "1", "page_size": "20"}'), which implies how to invoke it. It never states when this tool should be chosen over video_list_related or video_relate_product, so there is no real alternative-selection 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?

Annotations already declare idempotentHint=true and destructiveHint=false, and the description's idempotency statement merely reinforces that. The genuinely new behavioral content is the auto-conversion of numeric ids into the encrypted form the API expects, which is not covered by any annotation and materially affects how callers pass ids.

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 tight sentences, front-loaded with the core action and then the target semantics and id conversion. Minimal waste, though the idempotency clause partly duplicates the annotation.

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 annotations cover the safety profile. What remains is a simple associate operation, and the description covers the non-obvious pieces (target values, id conversion); only account_key's role is left unaddressed.

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

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

Schema description coverage is 0% and target has no enum in the schema, so the description's enumeration of 'main' (main-image video) and 'detail' (detail video) adds real semantic value. However, video_id, product_id, and especially account_key (default "") remain unexplained, so compensation for the coverage gap is only partial.

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

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

The description opens with a specific verb+resource ('Associate a video with a product'), which cleanly distinguishes it from the sibling read tools video_list_related and video_query. It never explicitly names those siblings or defines boundaries against them, so sibling differentiation is present only by implication.

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 prerequisites, and no reference to alternatives such as video_list_related for verification. Usage is only inferable from the purpose statement itself.

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