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

With no annotations, the description carries the full burden. It discloses the mutation ('Add'), the scope ('one copy'), and the return value ('its instance ID'). It does not mention duplicate behavior, default folder handling, authentication, or side effects, but it does provide the core behavioral outcome.

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, focused sentence that front-loads the action and states the result. There is no wasted wording.

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 tool has no annotations and no output schema, and the description omits important details such as the username parameter, default folder behavior, duplicate copy semantics, and authentication context. An agent would need additional inference to call it confidently in all cases.

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 implicitly maps releaseId and folderId via 'release' and 'collection folder', but it does not explain the username parameter, the folderId default, or why these are needed.

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: adding one copy of a release to a collection folder and returning its instance ID. This clearly distinguishes it from sibling tools like add_to_wantlist or remove_collection_instance.

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 usage context is implied: use when adding a release copy to a collection folder. However, it does not explicitly say when to prefer this over alternatives, such as add_to_wantlist, or mention any 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose an upsert-like behavior ('Add or update'), which is useful. However, it omits important behavioral details such as authentication requirements, whether existing notes/rating are overwritten, or what the response looks like.

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 a single concise sentence with no filler. It places the action and object upfront. It is appropriately brief, though the brevity contributes to under-specification in other dimensions.

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 mutation tool with four parameters, no annotations, and no output schema, this description is too sparse. It does not explain which user's wantlist is affected, how notes and rating behave on update, or whether the operation targets the authenticated user. The description provides only the core action, not enough context 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 description coverage is 0%, so the description must compensate by explaining parameter roles. It does not mention notes, rating, username, or releaseId semantics. The phrase 'release in a user's wantlist' only vaguely maps to releaseId and username, leaving three of four 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 uses a clear verb-resource pair: 'Add or update a release in a user's wantlist.' It also distinguishes the action from sibling tools like remove_from_wantlist and get_wantlist by naming the add/update operation. It does not explicitly call out the username parameter, but the overall intent 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?

There is no guidance about when to use this tool versus alternatives such as add_to_collection, set_release_rating, or remove_from_wantlist. The context in which this tool should be selected over another is left entirely 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?

No annotations are provided, so the description alone must disclose behavioral traits. It only says that a folder is created, without mentioning authorization, side effects, idempotency, or response behavior. This is minimal transparency for a mutation-oriented 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?

The description is a single short sentence, so it is structurally small. However, it is under-specified rather than usefully concise, since it restates the tool name and omits all operational context. There is no front-loaded detail beyond the obvious action.

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 two parameters, no annotations, no output schema, and many sibling collection-management tools, this one-sentence description is far from complete. Nothing explains the expected return value, required permissions, or relationship to folder rename/delete/get operations. An agent cannot reliably invoke this tool correctly from the provided information.

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 provides no meaning for either parameter, 'name' or 'username'. The agent is left to guess what 'name' refers to and why 'username' is an optional parameter. The description does nothing to compensate for the schema's lack of documentation.

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 clear action ('Create') on a specific resource ('a collection folder'). It is consistent with the sibling folder management tools, so the create action is distinguishable from get/rename/delete operations. However, it adds little beyond the tool name itself.

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

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

There is no guidance on when to use this tool versus the many collection-related siblings, such as add_to_collection or create_listing. It does not mention prerequisites, authentication, or when not to use it. The only inferred context comes 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Create a marketplace seller listing' implies a mutating operation but does not reveal side effects, authentication needs, draft vs. public status implications, or what the response will contain. This is a significant 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?

The description is a single, front-loaded sentence with no filler words. It is concise and easy to parse, though its brevity leaves important details unaddressed in other dimensions.

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?

This is a 10-parameter, 3-required-parameter mutation tool with no annotations, no output schema, and zero schema description coverage. A one-sentence description is far too thin to enable correct invocation, especially with lots of sibling tools and optional fields like status, allowOffers, and sleeveCondition.

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 adds no meaning to any of the 10 parameters. The input schema provides only names, types, and constraints, so the agent receives no assistance understanding what releaseId, condition, price, status, or other fields represent in context.

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

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

The description states a specific action ('Create') and a specific resource ('marketplace seller listing'), clearly distinguishing it from sibling tools like get_listing, edit_listing, and add_to_collection. The phrase 'marketplace seller' removes ambiguity about which kind of listing is being created.

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

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

There is no guidance about when to choose this tool over alternatives such as edit_listing or delete_listing, nor any mention of prerequisites like having inventory or a release to list. The description only states the action, leaving the usage context entirely to inference.

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

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

With no annotations, the description carries the behavioral transparency burden. It does disclose a key side effect: releases are not deleted but moved to Uncategorized. It does not mention permanence or permissions, but the most important destructive consequence is covered.

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 a single, front-loaded sentence with no wasted words. It efficiently communicates the operation and the most relevant effect.

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 tool is low-complexity, but without annotations or an output schema the description still leaves usage alternatives, parameter semantics, and return behavior unexplained. The core effect is stated, but the description is not a complete guide 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 description coverage is 0%, and the description adds no parameter-level meaning. folderId and username are not explained, so their semantics must be inferred from property names and the schema. 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?

The description clearly states the operation: 'Delete a collection folder' and adds a distinguishing side effect about releases. It does not explicitly differentiate from sibling tools like remove_collection_instance, but the resource type 'collection folder' 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?

There is no guidance on when to use this tool versus alternatives such as create_collection_folder, rename_collection_folder, or remove_collection_instance. The description explains the consequence of deletion but not the conditions or context for selecting this 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates deletion is destructive, but it does not mention irreversibility, permission requirements, impact on related data, or expected response 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?

The description is a single, focused sentence with no filler. It states the action and the object clearly and is appropriately sized for a simple one-parameter 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?

For a simple single-parameter delete operation, the description conveys the core intent adequately. However, with no annotations, no output schema, and no mention of side effects, ownership constraints, or irreversibility, it is only minimally complete for safe 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%, and the description does not explain the listingId parameter beyond the resource context. The parameter name and schema type are self-explanatory, but the description adds no meaningful detail about how to obtain or identify the listingId.

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 clearly states the action ('Delete') and the resource ('marketplace seller listing'), making the tool's purpose immediately understandable. It does not explicitly differentiate from sibling tools like edit_listing or get_listing, but the verb alone provides strong distinction.

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

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

There is no guidance on when to use this tool versus alternatives, no mention of prerequisites such as ownership of the listing, and no exclusions. The description only states what the tool does, not the conditions under which it should be used.

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 provided, the description carries the full burden of behavioral disclosure. It usefully states that the rating being deleted belongs to the authenticated user, which clarifies authorization scope. However, it does not disclose whether deletion is idempotent, what happens if no rating exists, or any response behavior, leaving notable gaps for a destructive operation.

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 a single, active, front-loaded sentence with no filler. Every word contributes to defining the action and scope, making it appropriately sized for a simple deletion 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?

Given that there are no annotations, no output schema, and 0% schema description coverage, the one-sentence description leaves too much to inference. An agent would need additional reasoning about the username parameter, error behavior, idempotency, or permissions to invoke this tool with full confidence.

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 for missing parameter explanations. It indirectly maps 'for a release' to releaseId, but it never explains the username parameter or its optional role. The phrase 'authenticated user's' hints that username may not be needed, but the description does not directly connect this to the schema.

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

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

The description names a specific verb ('Delete') and a specific resource ('the authenticated user's rating for a release'), making the action unambiguous. It also distinguishes itself from siblings like get_release_rating and set_release_rating by making clear this is for removal only.

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 no explicit guidance about when to use this tool versus alternatives such as set_release_rating or get_release_rating. There is no mention of conditions, exclusions, or preferred alternatives, so an agent must infer usage purely from the tool name and action.

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 supplied, the description carries the burden, and it does communicate scope and limitations like the JSON-only constraint and the checkout/payment exclusion. However, it does not disclose side effects of POST/PUT/DELETE calls, auth or rate-limit expectations, or how raw responses and errors are returned. It stays at the level of 'what it calls' rather than 'what happens when you call it'.

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 short sentences, each carrying distinct information: core function, fallback rule, and exclusion. It is front-loaded and has 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?

The description adequately handles tool selection and high-level scope, which is the main risk for a generic fallback tool. Yet the absence of an output schema, no annotations, and no parameter details leaves invocation details such as constructing path/query/body and handling errors to the agent. For a generic API wrapper, this is adequate but not complete.

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 adds no parameter-level guidance. Method and path are self-explanatory, but query and body formats are left entirely to the bare property names. This is a significant gap for a generic API caller.

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 ('Call') and resource ('any JSON Discogs API v2 endpoint'), making the tool's function unambiguous. It also differentiates this generic fallback from the many named sibling tools by instructing to use named tools when available. This is a clear, distinguishing purpose.

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 gives an explicit selection rule: use this tool only when no named sibling covers the endpoint ('Use named tools when available'). It adds a concrete exclusion: checkout and payment are not API endpoints, which prevents agents from attempting unsupported requests. This is strong 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?

With no annotations available, the description carries the full burden. It clearly indicates this is an authentication check that returns identity, but it does not disclose error behavior for invalid credentials, the exact response contents, or side effects. The operation appears simple and read-only by implication, but those traits are not explicit.

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. Every word contributes to the meaning.

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 tool is parameterless and conceptually simple, so the description is enough to make a basic call. However, since there is no output schema, the description does not clarify what fields make up the returned identity or how an agent should use it, which is a meaningful gap.

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

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

The tool has zero parameters, so the baseline is 4. There is no parameter detail for the description to add beyond what the empty input schema already conveys.

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

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

The description states a specific action ('Verify authentication') and a specific resource ('authenticated Discogs identity'). It is clear, but it does not explicitly distinguish itself from similar sibling tools like get_user_profile, so sibling differentiation is left to inference.

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

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

There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named. The phrase 'Verify authentication' implies the intended use as an authentication preflight, but the boundary against get_user_profile or other user-related tools is not stated.

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

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

With no annotations provided, the description carries the burden and does disclose a meaningful behavioral guarantee: it verifies authentication without exposing credentials. It does not detail return format or failure modes, but the core safety-relevant behavior is covered for a zero-parameter status check.

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

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

The entire description is one focused, front-loaded sentence with no filler. Every word contributes to defining the tool's function and safety property.

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 parameterless status-check tool, the description is largely complete: it states what is verified and what is not exposed. The only minor gap is that it does not describe the exact return value, but 'Verify' sufficiently implies a success/failure indication.

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 baseline 4 applies. The description appropriately needs no parameter-level detail because there is nothing to configure.

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

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

The description uses a specific verb ('Verify') and a specific resource ('eBay Browse API application authentication'), making the tool's purpose unmistakable. It is clearly distinct from data-fetching and collection-management siblings because it focuses on authentication status.

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 clearly indicates when this tool applies: when an agent needs to verify eBay Browse API authentication. It does not explicitly name alternatives or exclusions, but the service-specific wording ('eBay Browse API') separates it from related identity/auth tools like discogs_identity.

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 of behavioral disclosure. It names the core operations (move and/or rate) but does not disclose side effects, whether rating overwrites existing ratings, whether moving removes from the current folder, or any required permissions.

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 a single front-loaded sentence with no redundant wording. It earns its place by naming the exact scope and actions, though its brevity leaves substantial information to be supplied by schemas or additional context.

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

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

This is a mutation tool with no annotations, no output schema, and 6 parameters, yet the description provides only the core action. An agent is left without enough context about parameter relationships, side effects, or success/failure behavior to invoke it confidently.

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

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

Schema description coverage is 0%, so the description must compensate for the 6 parameters. It weakly maps actions to parameters ('move' implies currentFolderId/newFolderId, 'rate' implies rating), but it does not explain the role of username, required fields, or optionality.

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

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

The description states a specific verb and resource: 'Move and/or rate one exact collection copy.' It clearly conveys this acts on an existing single collection instance, which differentiates it from siblings like add_to_collection and remove_collection_instance despite not naming 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 explicit guidance on when to use this tool versus alternatives. The description implies it is for editing an existing collection copy, but it does not mention exclusions, prerequisites, or compare with sibling tools like remove_collection_instance or add_to_collection.

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 of behavioral disclosure, but it only repeats the tool's name and adds 'marketplace seller.' It does not mention side effects, required ownership/permissions, validation behavior, immutability of some fields, or what happens on success/failure.

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 text is short, but it is under-specified rather than concisely complete. A single generic sentence does not carry enough information for a 10-parameter mutation tool with no annotations or schema descriptions.

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

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

For a tool with 10 parameters, 0% schema description coverage, no annotations, and no output schema, this description is far from complete. An agent cannot determine which fields are updatable, whether listingId is the only required key, or what the request/response behavior is.

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 10 parameters, and the description names none of them. It does not explain what price, status, weight, location, condition, or allowOffers mean or how they relate to an edit operation.

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

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

The description uses a specific verb ('Edit') and identifies a distinct resource ('marketplace seller listing'), which clearly sets it apart from sibling tools like edit_collection_instance or edit_order. It does not explicitly name alternatives, so it falls short of the top score.

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 no guidance about when to choose this tool over create_listing, delete_listing, or get_listing, and no prerequisites or context are provided. The need to edit an existing listing is only implied by the verb.

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 behavioral burden. It only says 'update' without disclosing whether it performs a partial update, preserves unspecified fields, requires certain permissions, or what side effects may occur on the existing order.

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 a single, focused sentence with no redundant wording. The action and target are immediately clear, making it easy to parse and remember.

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 mutation tool with no annotations, no output schema, and no parameter descriptions, this is under-specified. An agent would need additional information to correctly construct a call, especially regarding parameter semantics and update 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%, so the description must compensate for missing parameter meaning. It names 'status' and 'shipping' but does not explain allowed status values, what the numeric shipping field represents, or that orderId is 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?

The description uses a specific verb ('Update') with a clear resource ('existing marketplace order') and identifies the affected aspects ('status or shipping details'). It naturally differentiates from siblings like get_order (read-only) and edit_listing/edit_collection_instance (different resources).

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 no guidance on when to prefer this tool over alternatives such as get_order or post_order_message, nor does it state exclusions or prerequisites beyond 'existing'. The intended use case is implied by the name but not explicitly framed against sibling 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?

With no annotations provided, the description carries the full burden of explaining behavior. It only states that fields are edited, but does not disclose update semantics (partial vs. full overwrite), required authentication, validation behavior, reversibility, or response format.

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 a single concise sentence and is front-loaded with the action. However, it is overly terse for a five-parameter mutation tool, providing no structural breakdown or field-level guidance.

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

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

The tool has no output schema, no annotations, and zero parameter documentation, yet the description only covers purpose and scope. An agent cannot confidently call this tool correctly without additional information about parameter semantics, update behavior, and response expectations.

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 by explaining the five parameters. It names none of them and only refers generically to 'fields,' leaving the meaning of 'profile,' 'homePage,' 'username,' and others entirely unspecified.

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

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

The description uses a specific verb (Edit) and identifies the resource (the authenticated user's public profile fields), making the tool's core purpose clear. It is distinguishable from the sibling get_user_profile as an update operation, though the word 'supported' is somewhat vague.

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 'authenticated user's' implies this is for modifying one's own profile, providing some usage context. However, it does not explicitly contrast with get_user_profile or mention when not to use it, leaving the 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates the operation is a read/find operation, but it does not describe what the response looks like, whether a username is required to scope to another user, or whether the result includes folder context. This is too thin for a tool with no safety 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?

One concise, front-loaded sentence with no filler or repetition. Every word contributes meaning, and the core behavior is immediately clear.

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

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

For a tool with two parameters, no output schema, and no annotations, the description is underspecified. It lacks return-shape information, username semantics, auth expectations, and any mention of pagination or edge cases like releases that appear in multiple folders.

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 for undocumented parameters. It only clarifies that 'release' in the description maps to releaseId, but it ignores the optional username parameter entirely and provides no additional meaning about how either parameter behaves.

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

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

The description uses a specific verb ('Find') and resource ('collection instance of a release') and sharply scopes it to 'across folders.' This distinguishes it from sibling tools like get_collection, which lists a collection generally, and edit_collection_instance, which modifies a single instance.

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 'every collection instance ... across folders' implies the use case: when an agent needs all instances of a release regardless of folder. However, it does not explicitly state when to use this tool versus alternatives like get_collection, and it offers no exclusions or alternative-route 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates that details are retrieved and does not mention response format, error behavior for unknown IDs, authentication needs, or rate 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?

The description is extremely concise and front-loaded with the action and object. It contains no filler or redundant phrasing, making it appropriately sized for such a simple fetch operation.

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 core invocation is clear: provide an artist ID and receive details. However, with no annotations, no output schema, and no behavioral or usage context, the description is only minimally viable and leaves some ambiguity about the response and edge cases.

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 does not mention the id parameter or clarify that it is the Discogs artist ID. The schema's 'id' field is self-explanatory, but the description adds no meaning beyond the structured input schema.

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

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

The description uses a specific verb and resource: 'Get Discogs artist details.' It clearly refers to fetching an artist record and is distinguishable from siblings like get_artist_releases, though it does not explicitly differentiate itself.

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 provides no guidance on when to use this tool versus alternatives such as get_artist_releases or get_master. Context like typical use cases, prerequisites, or exclusions is entirely absent.

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 of behavioral disclosure. It only says 'List...', implying a read operation, but it does not mention pagination behavior, sort defaults, response shape, or that releases may include roles like 'main' or 'appearances'. This is a significant gap for a tool with five parameters and no 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 single sentence is concise and free of filler, but it is under-specified for a tool with five parameters, no annotations, and no output schema. It earns its place but is not appropriately sized for the complexity it should explain.

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 description provides only the minimal action and resource, with no return format, pagination semantics, sorting behavior, or relationship to sibling tools. Given the lack of output schema and annotations, this leaves the agent under-informed about what the call will return and how to interpret 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 input schema has 0% description coverage, so the description must compensate by explaining how the parameters relate to the operation. It only indicates that the resource is keyed to a Discogs artist, leaving page, perPage, sort, and sortOrder meaning entirely to their names and enums.

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 'List releases associated with a Discogs artist' uses a specific verb and identifies a clear resource, so an agent understands the basic action. However, it does not distinguish this from similarly named siblings like get_label_releases or get_master_versions, 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?

The description gives no guidance on when to use this tool versus alternatives, no exclusions, and no context about what distinguishes artist releases from label releases or master versions. The agent must infer usage entirely from the tool name and 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 provided, the description must carry the behavioral disclosure burden, but it only says 'List releases' and gives no detail on authentication, pagination, response format, or special folder semantics such as folderId=0 meaning all folders. It conveys read-only behavior implicitly but leaves too much unstated.

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 a single front-loaded sentence with no filler. Every word contributes meaning and it is appropriately concise for the amount of information it actually covers.

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

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

For a tool with 4 parameters, no output schema, and no annotations, this description is incomplete. An agent cannot determine whether username is effectively required, what folderId 0 represents, how pagination behaves, or what the response contains. It identifies the topic but not enough operational detail for confident 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 needs to compensate for the lack of parameter documentation. It loosely maps 'user's' to username and 'folder' to folderId, but it does not address page, perPage, or the meaning of their defaults. The agent must rely entirely on the raw schema property names.

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 clearly states a specific verb ('List') and a specific resource ('releases in a Discogs user's collection folder'). It is unambiguous enough to communicate the core purpose, though it does not explicitly differentiate from sibling tools like get_collection_folders or find_collection_release.

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

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

There is no guidance on when to use this tool instead of siblings such as get_collection_folders or find_collection_release. The description does not mention prerequisites like username being effectively required, nor does it explain what makes this endpoint the right choice for a given task.

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. The verb 'List' implies a read-only operation, but the description does not disclose what the response contains, whether auth is needed, or how the username scopes the result.

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 a single short sentence with no filler. The verb and object are front-loaded, and every word 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?

With no output schema, no annotations, and an under-documented optional parameter, the description is not complete enough for an agent. It does not explain the return shape, the role of username, or how this tool relates to set_collection_field and get_collection_value.

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 does not mention the username parameter at all. The parameter name is self-explanatory, but the description fails to clarify whether username is required, which user this applies to, or what happens if it is omitted.

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 specifies a clear action ('List') and resource ('custom collection fields'), and 'custom' helps distinguish it from related collection operations like get_collection or get_collection_folders. It does not explicitly name an alternative, 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 guidance on when to use this tool versus related siblings such as get_collection_value, set_collection_field, or get_collection. The description also gives no context about how the optional username parameter affects which fields are listed.

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 provided, the description carries the full burden of behavioral disclosure. 'List' implies a read-only operation, but the description does not clarify whether it returns the authenticated user's folders by default, whether the username parameter is needed, or what the response contains.

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 a single clean sentence with no filler, and the core action is front-loaded. It is appropriately concise, though it is also terse enough that it misses contextual 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 simple one-parameter tool with no output schema and no annotations, the description is incomplete. It does not explain the optional username semantics, the scope of the folder list, or the expected return format, leaving too much for the agent to 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% and the description does not mention the username parameter at all. The schema only provides a property name and minLength, with no required flag or explanation, so the agent gets no meaningful guidance on how to use the parameter.

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

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

The description uses a specific verb ('List') and a clear resource ('collection folders'), so an agent can tell it is a read operation on folder data. It is distinct from sibling create/rename/delete folder tools, though it does not explicitly call out that distinction or state whose folders are listed.

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

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

There is no guidance about when to use this tool versus alternative collection folder tools or other listing tools like get_collection or get_collection_fields. The description provides no when-to-use or when-not-to-use context.

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 of behavioral disclosure. It conveys that the operation is a read-only 'get' and scoped to the authenticated user, but it does not describe response format, authentication requirements, potential errors, or what the value estimate is based on.

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 a single front-loaded sentence with no filler, making it efficient and easy to parse. It is slightly under-sized given the undocumented username parameter, but as a structural matter it is concise without being tautological.

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

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

For a tool with no annotations, no output schema, and an undocumented parameter, a one-line description is incomplete. The agent would not know how to handle the optional username parameter, what the response contains, or whether additional authentication context is needed.

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 schema has one parameter, username, with 0% description coverage, and the tool description never mentions it. The description's 'authenticated user's' framing makes the optional username parameter confusing, and no explanation is provided for when or why it should be used.

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 clearly states the action ('Get') and the resource ('authenticated user's collection value estimate'), which is distinct from sibling tools like get_collection or get_price_suggestions. However, it does not explicitly contrast those alternatives, and the optional username parameter introduces slight ambiguity about whose value is returned.

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 no guidance about when to use this tool instead of related collection or pricing tools, nor does it explain prerequisites such as authentication or whether username should be supplied for other users. The only usage cue is inferred from the tool's purpose, which is not enough for reliable tool selection.

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 behavioral burden. 'Get' clearly implies a read-only operation, which is sufficient for a zero-parameter call, but the description does not disclose details like base currency, rate date, or response format.

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 a single focused sentence with no filler. It front-loads the action and resource clearly, making it easy for an agent to parse quickly.

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?

This is a simple, zero-parameter, read-only tool with no output schema. The description adequately identifies the data returned, though mentioning the base currency or response shape would add completeness.

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 input schema has zero parameters, so schema coverage is trivially 100% and no parameter documentation is needed. The description adds no parameter info, but none is 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?

The description states a specific operation (get) and resource (Discogs marketplace currency exchange rates). No sibling tool covers the same resource, so it is immediately distinguishable from other get_* 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 marketplace qualifier provides clear context for when this tool applies: whenever Discogs marketplace currency exchange rates are needed. It doesn't name alternatives or exclusions, but no direct alternative exists among the 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?

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'Get current details.' It implies a read operation but does not state output behavior, error cases, authentication requirements, or rate-limit implications, so an agent gets little behavioral context beyond the action verb.

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 a single front-loaded sentence with no filler. It communicates the action, scope, and parameter type in minimal 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?

This is a simple one-parameter lookup tool with no output schema, and the description provides the essential information: the endpoint domain (eBay Browse API), the resource, and the required identifier. It does not explain return values, but 'current details' is reasonably sufficient for a basic get-by-ID operation.

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 input schema only defines itemId as a string, and schema coverage is 0%, so the description must add semantic meaning. The phrase 'eBay Browse API item ID' clarifies that the string is an eBay Browse API identifier rather than a generic ID, but it does not describe format, source, or examples.

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 action ('Get current details') on a specific resource ('a specific eBay Browse API item ID'), so it is clearly more than a tautology. It is identifiable against the broader tool set, though it does not explicitly name any sibling it should not be confused with, such as get_listing.

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 the tool is for looking up a single eBay item by ID when current details are needed, which is an implied usage context. There is no explicit guidance about when not to use it or which alternative, such as get_listing or search_ebay_vinyl, should be chosen instead.

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 burden of disclosing behavior. It accurately conveys a pure fee-calculation operation, but it does not describe the return value, whether the fee is returned in the provided currency, or whether the calculation follows Discogs's current fee schedule. This is acceptable for a simple calculator but not fully transparent.

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 a single, front-loaded sentence with no filler. Every word adds meaning, and it is appropriately sized for a two-parameter calculation 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?

The tool is simple, but there is no output schema and no annotations, so the description should at least hint at the result shape and currency assumptions. It does not explicitly state the return value or the currency handling beyond naming 'currency'. The core purpose is clear enough for basic invocation, but some context 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%, so the description must add meaning to the parameters. It does tie 'price' and 'currency' to the fee calculation, clarifying their roles. However, it does not explain that currency should be a 3-letter ISO code beyond the schema's length constraints, nor does it specify whether price represents the pre-fee item price. It provides minimal added value.

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

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

The description uses a specific verb ('Calculate') and names a specific resource ('Discogs marketplace fee') along with its inputs. This clearly distinguishes it from sibling tools such as get_price_suggestions, get_marketplace_stats, and get_currency_exchange_rates.

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 no guidance on when to use this tool versus alternatives like get_price_suggestions or get_marketplace_stats. It implies a fee-calculation use case but does not state exclusions, prerequisites, or when a sibling tool would be more appropriate.

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 provided, the description carries the full burden of behavioral disclosure, but it only states the high-level action. It does not mention pagination behavior, status filtering defaults, required authentication, or what the returned inventory response contains.

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 concise and has no fluff, but it is under-specified given the lack of parameter documentation and annotations. The single sentence is easy to parse, yet it does not carry enough information to be considered appropriately sized for this endpoint's complexity.

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 four parameters, no annotations, no output schema, and no parameter descriptions, this tool definition is incomplete. The description gives only the core purpose; an agent would still lack guidance on pagination, status values, seller identification, and response shape.

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 for the four undocumented parameters, but it only weakly hints that 'username' refers to the seller. It does not explain page, perPage, status, or how these parameters affect the returned inventory.

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 clearly identifies the action (list) and the resource (a Discogs seller's marketplace inventory), so an agent can understand the tool's basic purpose. It does not explicitly contrast it with get_listing or other inventory-related siblings, but the plural 'inventory' against get_listing's singular scope provides some implicit differentiation.

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

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

There is no guidance about when to choose this tool over alternatives such as get_listing, search_database, or get_orders. The description does not state what kinds of requests are appropriate for this endpoint, nor does it mention any exclusions or alternative 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Get' implies a read-only operation, but the description does not disclose output format, authentication needs, rate limits, or any other behavioral traits beyond the bare action.

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 a single, front-loaded sentence with no filler or redundant information. It is appropriately concise for a simple read tool, though it could have used one additional phrase to clarify the id parameter.

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

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

For a tool with a single required integer parameter and no output schema, this is minimally adequate: an agent can infer the call by combining the name, description, and schema. However, it is thin overall: it lacks any explanation of the return value, label-ID provenance, or relationship to get_label_releases.

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

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

Schema description coverage is 0%, so the description should compensate by explaining the meaning of the 'id' parameter. It does not. While the parameter is simple and its role can be inferred from the tool name, the description adds no semantic value beyond what the schema already states.

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 clearly states a specific action ('Get') and resource ('Discogs label details'), making the tool's core purpose obvious. It implicitly distinguishes itself from the sibling get_label_releases by focusing on 'details' rather than releases, but it does not explicitly name that distinction.

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 usage guidance is provided. The description does not explain when to use this tool versus alternatives such as get_label_releases, search_database, or get_release, nor does it specify any context or 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?

With no annotations provided, the description must carry the full burden of disclosing behavior. It neither mentions pagination support nor describes the shape or scope of the returned release list, despite the presence of page and perPage parameters.

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 a single clear sentence with no filler or redundancy. It is immediately understandable and appropriately front-loaded.

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

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

For a tool with no annotations and no output schema, the description is under-specified. It omits pagination behavior, response contents, and any error or edge-case context that would help an agent invoke and interpret the call 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 schema has 0% description coverage, so the description should compensate for the parameters. It adds only a minimal semantic link between labelId and 'Discogs label', but gives no meaning for page or perPage beyond what their names and schema constraints already imply.

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 clearly states the action ('List') and the resource ('releases associated with a Discogs label'). It is specific enough to identify what the tool does, though it does not explicitly differentiate itself from sibling tools like get_artist_releases or search_database.

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

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

There is no guidance about when to use this tool versus alternatives such as search_database, get_artist_releases, or get_label. The description only states what the tool returns, leaving the selection context entirely implicit.

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 must carry the full burden of disclosing behavior. It only says 'Get', which implies a read operation, but it does not mention authentication requirements, response format, pagination, or any side effects. This is a minimal level of transparency.

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 a single, front-loaded sentence with no filler or redundancy. Every word adds meaning, making it appropriately concise for a simple lookup 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?

For a simple one-parameter read tool, the description gives the essential idea: it fetches a list and its entries. However, with no output schema and no annotations, it omits details such as what the returned data looks like, whether entries are paginated, and how this relates to other list-oriented tools. It is minimally complete but has clear gaps.

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?

With 0% schema description coverage, the description should compensate by explaining what listId means and how it is used. It does not mention listId at all, and while 'a Discogs list' loosely implies the resource, the description provides little added meaning beyond the parameter name and type already in the schema.

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

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

The description clearly states the verb ('Get') and the resource ('a Discogs list and its entries'), making the basic purpose understandable. However, it does not explicitly distinguish itself from sibling tools like get_user_lists, which also deals with Discogs lists, so it misses the top score.

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

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

There is no guidance on when to use this tool versus alternatives such as get_user_lists or get_collection. The description does not mention any conditions, prerequisites, or exclusions, leaving the agent to infer usage context on its own.

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 must carry the full behavioral burden. It only indicates a read-style operation with the word 'Get' and provides no information about response contents, authentication requirements, or absence of side effects.

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 a single short sentence with no filler, redundant phrases, or unnecessary detail. It is front-loaded and easily scannable.

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

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

With no output schema, no annotations, and a low-coverage input schema, the description is too minimal to fully support correct invocation. It lacks parameter explanation, return expectations, and usage context, making it incomplete for a tool with this sparse surrounding metadata.

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 does not explain either parameter. It adds only minimal meaning by associating the listingId with the marketplace listing resource, leaving the optional currency parameter completely unexplained.

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

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

The description clearly states the action ('Get') and the resource ('marketplace listing'), which distinguishes it from sibling create/edit/delete listing tools. However, it does not explicitly mention that this fetches a single listing by ID, so it is clear but not fully elaborated.

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 is provided on when to use this tool versus alternatives like get_inventory, get_price_suggestions, or get_release. The sibling context suggests possible confusion, but the description leaves selection to inference.

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

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

With no annotations, the description carries the full burden for behavioral disclosure. It does convey that this is a non-mutating read operation and specifies what data is returned (listing count and lowest price). However, it does not mention authentication needs, currency behavior, error conditions, or response structure, which would add useful transparency.

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 a single, tight sentence that front-loads the core purpose. Every word earns its place, and there is no redundant or filler content.

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 tool is relatively simple, but the absence of an output schema, annotations, and parameter descriptions means the description must do more. It covers the main return values and the target release, but leaves gaps around currency semantics and response details. It is minimally viable, not complete.

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 for both parameters. It partially does by indicating releaseId targets 'a release', but it says nothing about the currency parameter, its 3-letter code format, or its default value. The parameter semantics are therefore incomplete.

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 clearly states a specific verb ('Get'), a specific resource ('marketplace listing count and lowest price'), and the scope ('for a release'). This is precise enough to distinguish the tool from siblings like get_price_suggestions or get_listing, since the combination of listing count and lowest price is unique.

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 no guidance about when to use this tool versus alternatives. It does not mention get_price_suggestions, get_listing, or any conditions that would make one choice preferable, leaving the agent to infer usage from the 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?

No annotations are present, so the description carries the full burden of behavioral disclosure. It conveys that the operation is a read via 'Get,' but it does not mention authentication needs, rate limits, error behavior, or what 'full details' means in practice.

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 a single, front-loaded sentence with no filler or redundancy. Every word contributes to the basic meaning, making it highly efficient.

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 one-parameter retrieval tool, the id is reasonably inferable, but the description fails to clarify how get_master differs from get_master_versions or get_release. With no output schema and no behavioral notes, the description is only minimally adequate for reliable tool selection and 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%, and the description does not mention the required 'id' parameter. The phrase 'Discogs master release' lightly implies that the id refers to a master release, but this is not explicit and adds minimal semantic value over the schema.

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

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

The description states a specific verb ('Get') and resource ('full details for a Discogs master release'), making the core operation clear. It is distinguishable from get_release by the 'master' qualifier, though it does not explicitly differentiate from get_master_versions.

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

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

There is no guidance about when to use this tool versus siblings such as get_release or get_master_versions. The description implies usage only through the tool name, with no alternatives or exclusions 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?

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states the basic listing action and provides no information about pagination behavior, filtering options, return format, or whether the operation is read-only. 'List' weakly implies a safe read operation, but the description does not go beyond the core purpose.

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 a single, front-loaded sentence with no filler or redundancy. Every word earns its place and the core action and resource are stated immediately.

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 tool has 7 parameters, no annotations, and no output schema, yet the description only states the basic purpose. It does not explain the optional filters, pagination, or expected response shape, leaving an agent without enough context to confidently use advanced parameters or interpret results.

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 for the lack of parameter documentation. It provides only a minimal hint that the 'id' parameter refers to a Discogs master, but it does not explain the optional page, label, format, country, perPage, or released parameters. The description adds very little meaning beyond the bare schema property names.

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 clearly states a specific verb ('List') and a specific resource ('release versions belonging to a Discogs master'), which makes the tool's core purpose unmistakable. It is distinguishable from siblings like get_master or get_release by the phrase 'release versions belonging to a Discogs master,' though it does not explicitly name or contrast those 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?

Usage is only implied: an agent can infer that this tool is appropriate when release versions of a master are needed, rather than master metadata or a single release. However, the description provides no explicit when-to-use guidance, no exclusions, and no mention of alternative sibling 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?

Since no annotations are provided, the description carries the burden of communicating behavioral traits. 'Get' clearly indicates a read operation and 'authenticated' signals that authorization is required. The description does not disclose not-found behavior, response structure, or rate-limit considerations, but for a simple single-resource fetch this is minimally adequate.

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 a single sentence with no unnecessary words, and the core action and resource are front-loaded. Every word contributes to meaning. It is concise without being under-specified.

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 low complexity of the tool—one required parameter and no output schema—the description covers the basic purpose and authentication context. However, it omits information about the returned order details, error behavior, and how this tool relates to sibling order tools. It is minimally complete for a straightforward fetch.

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 input schema has no parameter descriptions and 0% schema coverage, so the description must compensate. It adds useful context by indicating that orderId refers to a marketplace order rather than a generic order, helping to disambiguate from other tools. However, it does not explain the ID format or how an agent should obtain the orderId, so the compensation 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 clearly states a specific verb ('Get') and resource ('authenticated marketplace order'), making it easy to identify this as a single-order fetch. The singular phrasing and required orderId distinguish it from list-oriented siblings like get_orders and mutation tools like edit_order. It does not simply restate the tool name or use vague wording.

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 provides no explicit guidance on when to use this tool versus its siblings such as get_orders, edit_order, or get_order_messages. The word 'authenticated' hints that the order belongs to the authenticated user, but no conditions, prerequisites, or alternatives are mentioned. An agent must infer the appropriate use from the name and parameter 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?

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only restates the basic list operation. It does not mention response format, pagination, message ordering, or what 'authenticated' means for the caller, and it provides no details on side effects or limitations.

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 one-sentence description is concise, front-loaded, and contains no filler. It is efficiently structured, though it is too sparse to fully support tool selection and invocation.

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

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

For a simple one-parameter list tool, this is a minimally viable description: it names the action, the resource, and the authentication context. However, with no output schema and no annotations, it leaves pagination, response shape, and auth scope unstated, so it is adequate but not complete.

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 for parameter meaning, but it does not explain orderId beyond the schema's type and required flag. The phrase 'marketplace order' weakly connects orderId to an order, but no format, source, or usage detail is given.

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 clearly states a specific verb and resource: 'List messages on an authenticated marketplace order.' It does not explicitly differentiate from siblings like get_order or post_order_message, but the list-vs-detail/create contrast is reasonably inferable.

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 is provided for when to use this tool versus alternatives such as get_order or post_order_message. There are no exclusions, prerequisites, or context cues beyond the word 'authenticated,' so 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?

With no annotations provided, the description carries the full burden of disclosing behavior. It adds that the listing is scoped to the authenticated user, which is helpful, but it does not mention read-only nature, pagination, sorting, or response shape. This leaves significant behavioral traits undisclosed for a list operation.

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 six words long with no filler. It front-loads the core operation and resource, making it easy to parse.

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 tool has seven parameters, no output schema, and no annotations, yet the description only states the basic listing operation. It omits any information about filtering, sorting, pagination, or what distinguishes an order from other marketplace resources, making it incomplete for an agent that needs to call it 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% and the description contributes nothing about the seven parameters. The description does not explain the meaning of page, sort, status, perPage, sortOrder, createdAfter, or createdBefore, and it makes no attempt to compensate for the schema's lack of descriptions.

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 ('List') and a clear resource ('authenticated marketplace purchases and sales'), which distinguishes it from both the singular get_order and the collection/wantlist listing siblings. However, it does not explicitly name any sibling or state what it is not, so it stops short of a perfect score.

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 scope 'authenticated marketplace purchases and sales' implies when the tool is appropriate (listing the user's own orders) and implicitly differentiates from get_order (single order), but it never states alternatives or exclusions. There is no explicit 'use this instead of X' guidance, so the usage context is only implied.

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 of behavioral disclosure. It communicates that suggestions are organized by media and sleeve condition, but it does not disclose the output structure, whether the result is a condition matrix, the source of the pricing data, or any rate-limit or authentication considerations. This is minimally transparent for a tool with no structured behavioral metadata.

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 a single focused sentence with no filler. The verb, object, and qualifying conditions are front-loaded, making the tool's purpose immediately visible without requiring the agent to parse unnecessary detail.

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

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

For a simple one-parameter read-style tool, the description is adequate, but it is not complete. There is no output schema, so the agent is left without explicit information about the response format, and the relationship between the mentioned conditions and the returned suggestions is only implied. It is usable but leaves meaningful gaps.

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 only parameter, releaseId, is only loosely elaborated by the phrase 'for a release.' The description does not explain how media and sleeve condition relate to the input schema, since those terms do not appear as parameters. It adds some context but does not fully compensate for the complete lack of schema-level parameter descriptions.

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

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

The description uses a specific verb ('Get'), a specific resource ('marketplace price suggestions'), and the distinguishing qualifier 'by media and sleeve condition for a release.' This makes the primary purpose clear even though it does not explicitly differentiate from sibling tools like get_marketplace_stats.

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 is provided about when to use this tool versus alternatives such as get_marketplace_stats, get_release, or get_inventory. The intended use can be inferred from the name and description, but the description does not state exclusions, prerequisites, or when a different sibling would be more appropriate.

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 must disclose behavioral traits itself. It only states what data is returned and does not mention auth requirements, rate limits, pagination, or any side effects. The verb 'Get' suggests a read operation, but the safety profile is not explicitly disclosed.

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

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

A single sentence that front-loads the action and resource, then lists useful detail categories without any filler. Every word contributes to the agent's understanding.

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 one-parameter read-only lookup with no output schema, the description gives a reasonable picture of what to expect: full release details with key fields named. It does not cover error cases or return structure, but the tool's simplicity keeps this from being a major gap.

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

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

The schema has one integer id parameter with 0% description coverage. The description compensates by clarifying that the release is a Discogs release, so the id represents a release ID. For a single simple parameter, this provides enough semantic context beyond the raw schema.

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

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

The description starts with a specific verb and resource: 'Get full details for a Discogs release,' and lists concrete content areas (tracklist, formats, labels, identifiers). This clearly distinguishes it from sibling tools like get_master or get_artist, which target different Discogs entities.

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 the tool should be used when full details of a specific release are needed, but it does not explicitly state when to choose this over alternatives such as get_master or get_master_versions. There are no exclusions or alternative guidance 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?

There are no annotations to carry the safety or behavioral profile, so the description bears the full burden. It only states the basic action and does not disclose what happens when a user has no rating, whether the username is optional and defaults to an authenticated user, or what the response format is.

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 a single, clear sentence with no wasted words, and the key verb and object are front-loaded. It is appropriately concise for a simple getter, though the terseness contributes to missing behavioral and parameter context.

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

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

With no annotations and no output schema, the description is too sparse to be contextually complete. An agent would still be uncertain about the return payload, the rating scale, optional user behavior, and how to handle a missing rating, all of which are relevant for a successful 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 must compensate for missing parameter explanations. The phrase 'a user's rating for a release' loosely maps to username and releaseId, but it does not clarify that releaseId is required, whether username is optional, or provide any additional semantic detail beyond the schema's raw types.

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 clearly states the operation ('Get') and the resource ('a user's rating for a release'), making the core purpose unambiguous. It implicitly distinguishes itself from the sibling tools set_release_rating and delete_release_rating through the read-only verb, though it does not explicitly name 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?

The description gives no explicit guidance about when to use this tool versus alternatives. It does not mention that set_release_rating or delete_release_rating are used to create/update or remove ratings, nor does it explain any context such as prerequisites or fallback behavior.

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?

There are no annotations, so the description carries the full burden. It discloses that only public lists are returned, which is useful, but it does not mention pagination behavior, authentication requirements, or whether any output is paginated or summarized.

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 a single concise, front-loaded sentence with no filler. It earns its place, though it could be enriched without becoming bloated given the absence of schema descriptions and annotations.

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

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

With three parameters, no output schema, no parameter descriptions, and no annotations, the description is too thin for an agent to invoke the tool confidently. It omits practical details such as what each parameter controls, whether username is effectively required, and what the response structure looks like.

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 adds only a minimal hint that the username identifies the Discogs user. The page and perPage parameters are completely unexplained in terms of behavior, defaults, or relationship to pagination.

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

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

The description uses a specific verb ('List') and identifies the resource ('a Discogs user's public lists'). It clearly distinguishes the tool's core purpose from siblings like get_list and get_collection, though it does not explicitly contrast 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?

No guidance is provided about when to use this tool versus alternatives, when not to use it, or any prerequisites such as authentication. The description only states what the tool does, not the context of use.

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 provided, the description carries the full burden of behavioral disclosure. 'Get' implies a read-only operation, but it does not state whether the profile is public, whether authentication is needed, how errors are returned, or what the response contains.

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 concise and front-loaded, but it errs on the side of under-specification. It uses one sentence with no filler, yet it omits the input parameter and any usage context that would make the brevity effective.

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 there is no output schema and no annotations, a single sentence of description is inadequate. The description does not clarify the role of the username parameter, the public nature of the data, or the expected response shape, leaving important gaps for a tool with one lookup 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?

The schema shows one username parameter with 0% description coverage, and the description never mentions it. The agent is left to infer that username is the required identifier and that it is string input with length at least 1; nothing clarifies that it is required for the call despite being marked optional.

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 clear operation and resource: retrieving a Discogs user profile. However, it does not differentiate this from sibling tools like discogs_identity or edit_user_profile, leaving some ambiguity about whether this returns public profiles or the authenticated user's own profile.

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 usage context is provided. The description gives no indication of when to prefer get_user_profile over discogs_identity or edit_user_profile, nor any mention of prerequisites such as authentication or username requirements.

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 of behavioral disclosure, but it only says 'list' and gives no detail about read-only behavior, pagination, authentication needs, or defaults. 'List' weakly implies a read operation but does not meaningfully disclose 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?

The description is a single, front-loaded sentence with no filler or repetition. Every word contributes to the core purpose.

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 tool has no annotations, no output schema, three undocumented parameters, and no behavioral context. The one-sentence description is not enough for an agent to correctly call the tool, especially around pagination and username handling.

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 needed to explain the three parameters, but it does not. 'A Discogs user's wantlist' loosely relates to username, but page and perPage 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?

The description names a specific resource (a Discogs user's wantlist) and a clear action (list releases). It stands apart from sibling tools like add_to_wantlist/remove_from_wantlist and get_collection because the wantlist scope is explicit.

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 the tool should be used when an agent needs the releases in a user's wantlist, which is clear enough as a primary use case. However, it gives no explicit guidance about when not to use it or how it differs from related browsing 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It conveys that this is a write operation and that the order must be authenticated, but it does not disclose side effects, whether the message is visible to the buyer/seller, any order-state constraints, or what the success response looks like. For a mutation tool with zero annotation coverage, this is a material gap.

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

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

A single eight-word sentence with zero filler. The verb and resource are front-loaded, and every word earns its place, including the 'authenticated' qualifier that scopes the operation.

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 tool is structurally simple — two flat string params, no output schema, no nested objects — so a short description is mostly sufficient. However, for a write operation with no annotations, the absence of any statement about success behavior, return value, or post-conditions leaves a clear gap that an agent would need to discover at runtime.

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 only loosely maps the parameters via the sentence structure ('a message' on 'an order'), which adds minimal relational meaning beyond the self-explanatory property names message and orderId. It provides no detail on message format, length constraints beyond minLength 1, or how orderId identifies an order.

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

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

The description uses a specific verb-resource pair ('Post a message on a marketplace order') and adds the meaningful scope qualifier 'authenticated'. This clearly differentiates it from sibling tools like get_order_messages, get_orders, and edit_order, and there is no ambiguity about what action is performed.

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 context is implied by the verb 'Post' — an agent can infer it is for sending messages on orders — but there is no explicit when-to-use guidance, no mention of the closely related sibling get_order_messages, and no exclusions (e.g., cannot message after order completion). The guidance is adequate but entirely left to inference.

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

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

With no annotations, the description carries the disclosure burden. 'One exact copy' adds a meaningful behavioral trait: only the specific identified instance is removed, not every copy of a release. 'Remove' also conveys destructiveness. However, it does not disclose irreversibility, permission requirements, or what happens on errors, so the disclosure is partial.

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 seven-word sentence with no filler; 'exact' earns its place by adding precision. It is well-structured and front-loaded, but the conciseness comes at the expense of operational detail, so it is not perfect.

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 destructive tool with no annotations, no output schema, and zero parameter documentation, this description is too thin. It does not clarify how folderId and instanceId relate to the removal, and it refers to 'a collection' while the schema requires a specific folderId. An agent is left guessing about the invocation mechanics.

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 does not explain folderId, username, releaseId, or instanceId. The phrase 'exact copy' hints at why instanceId matters, but it does not tell an agent how to populate required parameters or handle the optional username. The description fails to compensate for the absent schema documentation.

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 the verb 'Remove', the resource ('a collection' instance/copy), and scopes the operation to 'one exact copy,' which distinguishes it from edit_collection_instance and remove_from_wantlist at a high level. It could be stronger by explicitly naming a sibling or tying 'copy' to instanceId, but the core action 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 is given on when to use this tool versus edit_collection_instance, add_to_collection, or remove_from_wantlist. There are no conditions, prerequisites, or exclusions. The only contextual signal is the sibling list itself, which the description does not engage with.

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 of behavioral disclosure. It identifies the action as removal but does not state whether removal is idempotent, what happens if the release is not in the wantlist, whether authentication is required, or how the optional username parameter affects ownership semantics. This is a meaningful gap for a mutation 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?

The description is a single clear sentence with no wasted words. The core action and target resource are front-loaded, making it easy for an agent to parse quickly.

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

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

For a tool with no annotations, no output schema, and 0% schema description coverage, this description is too thin. It omits behavior around the optional username, error cases, and any side effects. An agent would need additional information to invoke it confidently in real workflows.

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 loosely maps to the parameters via 'a release' and 'a user.' It does not explain the releaseId required parameter or clarify whether username defaults to the authenticated user. The schema provides basic names but the description adds minimal semantic value over those field names.

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

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

The description uses a specific verb and resource: 'Remove a release from a user's wantlist.' It clearly differentiates from sibling tools like add_to_wantlist and get_wantlist, which perform different actions. An agent can tell what this tool does 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?

The description gives no guidance on when to use this tool versus alternatives such as add_to_wantlist or get_wantlist. It does not mention prerequisites, optional parameters, or cases where this tool should or should not be used. Context must be inferred entirely from the tool name and description.

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 behavioral disclosure burden. It only says 'rename', which implies mutation, but it does not mention authentication requirements, whether the rename overwrites existing names, scope of access, or what the API returns.

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 a single, front-loaded sentence with no wasted words. It is appropriately brief for a simple operation, though the brevity borders on under-specification because it omits key behavioral and parameter context.

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

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

For a mutation tool with three parameters, no output schema, and no annotations, this description is too thin. It omits the meaning of the optional username parameter, any usage conditions, and the expected response, so an agent has incomplete information for a fully confident call.

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 adds no explicit explanation of parameters. folderId and name are somewhat inferable from the operation, but the optional username parameter is unexplained, leaving ambiguity about whose collection is being modified.

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 clearly states the operation: renaming a collection folder. It is precise enough to distinguish the tool from sibling tools like create_collection_folder and delete_collection_folder, though it does not explicitly describe those alternatives or add detail beyond the tool name.

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 provides no guidance on when to use this tool versus other folder or collection operations. There is no mention of prerequisites, target-user context, or conditions that would make rename_collection_folder the appropriate choice.

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 behavioral burden. The verb 'Search' implies a non-mutating lookup, and the description adds the behavior that filters are optional. However, it does not disclose pagination, result shape, rate limits, or auth considerations, which are relevant for a search endpoint.

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 with no filler, front-loaded with the action and scope. Every word contributes meaning, making it an efficient description even though it sacrifices depth.

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 tool has 12 parameters, no annotations, and no output schema, but the description provides only a high-level summary. It lacks guidance on when to use search versus sibling retrieval tools, how filters interact, pagination behavior, and what the response contains.

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 for the 12 parameters, but it only provides the general phrase 'optional catalog filters' and the entity types. Individual parameters like label, barcode, format, and catalogNumber are left to name inference rather than explained.

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

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

The description states a specific action ('Search'), a clear resource scope ('Discogs releases, masters, artists, or labels'), and notes optional catalog filters. It is easily distinguished from sibling tools like get_release, get_master, and search_ebay_vinyl.

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 it is the general search entry point for Discogs entities, but it does not explicitly say when to use it instead of direct get_* tools or search_ebay_vinyl. The usage context is inferable but not stated as 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?

With no annotations, the description carries the behavioral burden. It clearly indicates a read-only search operation and states what is returned, which is useful. However, it does not disclose pagination behavior, result limits, authorization expectations, rate-limit considerations, or the fact that results are limited to eBay's marketplace context.

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

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

The single sentence is concise and front-loaded, but it is too under-specified for a tool with 13 parameters and no schema descriptions. It earns its place but is not appropriately sized for the complexity of the input surface.

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 13 parameters, no schema descriptions, no annotations, and no output schema, this one-sentence description is far from complete. It omits filter semantics, sorting behavior, defaults, pagination, and output structure. It only establishes the core purpose and result fields, leaving significant gaps 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 description coverage is 0%, and the description adds no parameter meaning. None of the 13 parameters—sort, limit, offset, currency, minPrice, maxPrice, condition, buyingOption, sellerCountry, deliveryCountry, etc.—are explained, so an agent must guess their semantics from names and enums.

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

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

The description states a specific action ('Search active eBay vinyl listings') and lists concrete returned data: prices, sellers, condition, location, and shipping. This distinguishes it from siblings like get_ebay_item, which retrieves a single listing, and search_database, which is a Discogs-oriented search.

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 or when-not-to-use guidance is provided. The description does not mention alternatives such as get_ebay_item for single-item lookups or search_database for non-eBay searches, nor does it explain conditions that would make a user choose one sibling over this 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals a mutation ('set') and a narrow scope, but does not state whether existing values are overwritten, whether the custom field must already exist, what permissions are needed, or what the API returns after the update.

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 a single, front-loaded sentence with no filler: verb, resource, and scope are all present in minimal words. It earns every word.

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?

This is a mutation tool with 6 parameters, no output schema, no annotations, and very limited context. The description is not enough for an agent to confidently assemble a correct call because several required identifiers are not explained and no usage/alternative guidance is provided.

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 for undocumented parameters. It loosely maps 'custom field value' to fieldId/value and 'exact collection copy' to instanceId, but leaves folderId, releaseId, and username unexplained, and does not clarify the relationship between fieldId and the custom field definition.

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

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

The description clearly states the action ('Set') and the resource ('custom field value') on 'one exact collection copy', making the core purpose recognizable. It is specific enough to distinguish from list/get tools, though it does not explicitly contrast with the nearby edit_collection_instance 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 phrase 'on one exact collection copy' implies this is a targeted, single-instance operation rather than a bulk or collection-level one, and 'custom field value' suggests when it applies. However, it does not explicitly say when not to use it or which sibling tool to prefer for other edits to a collection instance.

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 provided, the description carries the full burden of behavioral disclosure. It indicates that the operation mutates a user's rating and is scoped to the authenticated user, but it does not disclose overwrite semantics, auth requirements, response behavior, or what happens if the user already has a rating.

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 one tight, front-loaded sentence with no filler or redundant phrasing. Every word contributes to stating the core action and 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?

Given no annotations, no output schema, and no parameter descriptions, this concise sentence leaves important invocation context undocumented. An agent can tell what the tool does, but not enough about edge cases, response behavior, or the meaning of optional parameters to call it correctly without guessing.

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 by explaining parameters, but it does not address releaseId, rating, or the optional username parameter directly. The optional username is particularly unclear and is not reconciled with 'authenticated user's rating'.

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 ('Set'), a specific resource ('rating for a release'), and an ownership scope ('authenticated user's'), making the tool's core purpose unambiguous. This also distinguishes it from the sibling tools get_release_rating and delete_release_rating through the contrasting operation type.

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 clear context for when to use the tool: when the agent needs to create or update the authenticated user's rating on a release. It does not explicitly name alternatives or exclusions, but the operation is not ambiguous against the read/delete siblings.

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