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

With no annotations present, the description carries the full burden of behavioral disclosure. It reveals the auth requirement, the draft-vs-published side effect, and the safety rationale for defaulting published to False. It does not cover rate limits or errors, but the provided context is meaningful and goes beyond the 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 purpose and auth requirement are front-loaded, followed by a compact, scannable Args block. Every parameter earns its explanation and there is no filler or redundancy, despite the large number of parameters.

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 create operation with eight parameters and no annotations, the description covers required fields, optional fields, authentication, and return shape. The output schema exists, so the 'Returns details and link' line is sufficient. Missing error semantics are a minor gap that does not impede correct selection or 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 fully compensates by documenting all eight parameters with functional meaning: Markdown body, immediate publish flag, up to 4 tags, series grouping, canonical URL purpose, meta description, and hero image URL. This is far richer than the bare schema names and 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 opens with a specific verb and resource: 'Create a new article on DEV.to'. It clarifies the two modes, draft or published, and the word 'new' distinguishes it from update operations. This is not a tautology and clearly communicates the tool's core function.

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 usage for creating articles that do not yet exist and mentions the DEVTO_API_KEY prerequisite. However, it never explicitly contrasts this tool with devto_update_article or states when not to use it. An agent must infer the boundary from the word 'new' and the sibling tool names.

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 of behavioral disclosure. It correctly indicates a read operation ('Fetch') and describes the response as Markdown with title, metadata, and body. However, it does not mention what happens for invalid or nonexistent IDs, auth requirements, or rate limits, leaving some uncertainty.

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 compact and well-structured into a one-line summary followed by Args and Returns. There is no filler, and the most important information is 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 simple read-only tool with one parameter and an output schema, the description covers the core information: purpose, ID source, and return format. The main omissions are edge-case behavior like 404 handling and whether authentication is required, but these are minor for a straightforward fetch-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?

Schema description coverage is 0%, but the description fully compensates by explaining that article_id is an integer, what it represents (the DEV.to article ID), and where to find it (URLs or list_articles). This is sufficient for an agent to correctly populate the only 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 first sentence names a specific verb ('Fetch'), a specific resource ('full article details and complete Markdown body'), and the unique selection mechanism ('by its ID'). This clearly distinguishes it from sibling list/search tools, which operate without a single article ID.

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 states that this tool is for fetching one article by ID and even tells the agent where to obtain the ID ('found in URLs or list_articles'). It does not explicitly name alternative tools for searching or listing, but the intended usage context is clear.

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

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

With no annotations, the description must disclose behavior. 'Fetch' implies a read-only operation, and 'Returns' clarifies the output, but it does not explicitly state non-destructiveness, authentication requirements, or any side effects. It is not misleading, but it leaves some behavioral context 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 compact and well-structured with clear sections: purpose, args, returns. The key purpose is front-loaded, and every sentence adds value with no redundant 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 simple with a single parameter and an output schema present. The description covers the purpose, the parameter, and the return content. It does not mention error cases or rate limits, but these are not critical for a straightforward fetch, making it adequate.

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

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

Schema coverage is 0%, so the description must compensate. It provides a definition of comment_id and an example format ('3e3k4'), which adds meaning beyond the schema's bare parameter name. This adequately informs the agent about the expected input.

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 verb ('Fetch') and a specific resource ('specific comment thread by comment ID'), which distinguishes it from the sibling devto_get_comments (plural). The phrase 'specific' and 'by comment ID' makes the scope 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 explicit guidance on when to use this tool versus devto_get_comments or other siblings. The description only implies single-comment retrieval via 'specific', but it does not mention that plural retrieval or listing should use devto_get_comments. This leaves the agent to infer the distinction.

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. It discloses that the tool fetches comments and returns a formatted discussion thread with nested replies, which implies a read-only operation. However, it does not mention authentication requirements, rate limits, or error handling, which could be relevant for a read 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 concise and well-structured, with the purpose in the first sentence followed by Args and Returns sections. No unnecessary words are present, making it easy to scan.

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

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

For a single-parameter tool with an output schema present, the description provides sufficient context by stating the return format. It does not discuss error conditions or edge cases, but given the simplicity, it is reasonably 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?

The description restates the parameter as 'Integer ID' with no additional semantics. Since schema coverage is 0%, the description should provide context like the format of the ID or how to find it, but it does not, leaving the parameter meaning only as the schema 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 the verb 'Fetch' and the resource 'threaded discussion comments for a DEV.to article', which is specific and distinct from the singular 'devto_get_comment' sibling. It avoids tautology and gives the agent a clear idea of the operation.

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 the sibling 'devto_get_comment' or other article-related tools. It does not mention exclusions or alternatives, leaving the agent to infer 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 burden. It usefully discloses that results are ordered chronologically, limited to published articles, and returned as a formatted markdown list. It omits auth and rate-limit details, but for a simple public GET these are minor gaps.

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

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

The description is compact and well organized: one purpose sentence followed by a short Args/Returns block. Every line adds useful information with no filler or tautology.

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

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

For a simple two-parameter read tool with an output schema, it covers the essential invocation details and return format. However, it lacks any guidance for choosing it over overlapping siblings, and with no annotations it does not address auth or rate limits, leaving some contextual 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%, but the description fully compensates: it explains that page is a pagination page with default 1 and gives per_page a range (1-30) and default 10. This is meaningfully more informative than the bare 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 opening sentence clearly names the action ('Get') and the resource ('latest published articles on DEV.to') and adds the ordering ('chronologically'). However, it does not explicitly differentiate this from siblings like devto_list_articles or devto_search_articles, so it stops just short of a 5.

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

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

No guidance is provided about when to use this tool versus alternatives such as devto_list_articles, devto_search_articles, or devto_get_article. The description explains mechanics but not selection criteria, exclusions, or conditions.

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

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states that it requires DEVTO_API_KEY and returns details about the authenticated user, which is useful. However, it does not disclose whether this is a read-only operation (though 'Fetch' implies it), rate limits, or what 'private settings' includes. The description adds some context but not rich behavioral detail.

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 with the core action and resource. The 'Requires DEVTO_API_KEY' note is placed early, and the return-value section is brief. It earns its place, though the 'Returns:' section is slightly redundant with the first sentence.

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

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

Given the tool has zero parameters and an output schema exists, the description is largely complete. It identifies the resource, the authentication requirement, and the return type. It could mention that this is a read-only operation or contrast with public profile fetching, but for a zero-parameter tool, the description covers the essential context.

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 schema provides no parameter semantics to rely on. The description compensates by clarifying that the tool operates on the authenticated user's context (via DEVTO_API_KEY) and returns account details and private settings. This gives the agent enough understanding of what the tool does without needing parameter 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 clearly states the verb 'Fetch' and the resource 'current authenticated user's account details and private settings', which distinguishes it from sibling tools like devto_get_user_profile (which fetches public profiles) and devto_get_my_articles (which fetches articles). It could be slightly stronger by explicitly naming a sibling it is not, but the resource scope is specific enough.

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

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

The description implies usage context: it requires authentication (DEVTO_API_KEY) and is for the authenticated user's own data. However, it does not explicitly state when to use this tool versus alternatives like devto_get_user_profile, nor does it mention exclusions or prerequisites beyond the API key. The context is clear but not fully elaborated.

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. It clearly states the auth requirement, that it returns drafts, and that the status filter affects published/unpublished/drafts. It does not cover rate limits or errors, but for a simple read operation this is quite 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 compact and well-structured, front-loading the core purpose and auth requirement before organizing parameters under 'Args' and return under 'Returns'. Every sentence adds useful information with no filler.

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

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

For a three-parameter authenticated listing tool with an output schema, the description covers auth, parameter semantics, and the list/draft behavior. It would be slightly stronger with explicit sibling guidance, but nothing critical is missing for the tool to be called correctly.

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

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

Schema description coverage is 0%, so the description must fully document parameters. It does: status has explicit allowed values ('all', 'published', 'unpublished'), page has a default, and per_page has a range (1-30) and default. This exceeds what the bare schema provides.

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 ('List articles') and a specific resource ('created by the authenticated user'), which clearly differentiates it from siblings like devto_list_articles or devto_search_articles. The inclusion of 'Requires DEVTO_API_KEY' further identifies the tool's function as user-scoped.

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 context is clear: use this for the authenticated user's articles, not for general article listing. However, it does not explicitly name alternatives or state when not to use this tool, leaving the agent to infer the distinction from sibling names.

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 behavioral burden. 'List' and the returns line make clear this is a read-only operation, which is useful. However, it does not disclose details like whether the result is sorted by popularity, how pagination behaves beyond page numbers, or any rate-limit/auth considerations.

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 compact and front-loaded with the core purpose, followed by a clean Args/Returns structure. Every sentence earns its place, and there is no redundant fluff.

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

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

For a simple two-parameter read tool with an output schema, the description is adequate and actionable. It documents both parameters and the return concept. It could be slightly more complete with sorting or pagination behavior, but nothing essential is missing 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?

The input schema has 0% description coverage, so the description fully compensates. It explains page as 'Pagination page number' and per_page as 'Number of tags to return (1-50, default 25)', adding meaning beyond the raw schema types and defaults.

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: 'List popular tags on DEV.to.' It clearly distinguishes itself from sibling tools, which all deal with articles, comments, or user profiles rather than tags. The scope is immediately understandable.

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: use this when you need popular DEV.to tags. It does not explicitly mention when not to use it, but the sibling tools cover different resources, so there is no real alternative for tag listing. No exclusions are needed for this simple read operation.

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 behavioral burden. It does state that the operation is a public read and gives a sense of the return format ('Formatted profile summary including bio, social links, and joined date'). However, it does not disclose what happens when neither username nor user_id is provided, whether both are accepted at once, or how errors are handled, especially since the schema marks both parameters as optional.

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

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

The description is compact and well organized into Args and Returns sections. It front-loads the purpose and contains no filler, with every sentence contributing useful 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 public profile fetch, the description covers the action, both parameters, and the general return contents. An output schema exists, so detailed return fields need not be repeated. The main gaps are the missing explicit requirement/precedence of the two parameters and no mention of devto_get_me for current-user lookups, but these are minor for a read-only lookup.

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 explain parameters, and it does: username is defined as a DEV.to handle with an example, and user_id is explained as the integer alternative. The word 'Alternatively' signals an either/or relationship, though it does not clarify that the schema treats both as optional or define precedence if both are supplied.

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

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

The description opens with a specific verb and resource: 'Fetch public profile details and statistics for a DEV.to user.' It clearly identifies the tool's target (public user profile) and distinguishes it from sibling tools like devto_get_me by the word 'public.'

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 usage for public user profiles and mentions two parameter alternatives, but it never explicitly states when to use this tool versus alternatives such as devto_get_me for the current user. The 'public' qualifier is the only implicit usage signal.

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 does mention the return format ('Formatted markdown list of article summaries') and implies pagination via page and per_page parameters. However, it does not state whether the operation is read-only, any authentication requirements, rate limits, or error behavior. It provides some behavioral context but is incomplete for a tool with no 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 well-structured with an Args section and a Returns section, making it easy to scan. It is front-loaded with the main purpose in the first sentence. The parameter explanations are concise yet informative, each on its own line. It is appropriately sized for six parameters, though it could be slightly more compact by grouping related filters, but it is not verbose.

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 six optional parameters and an output schema (not shown), so the description must provide sufficient context. It explains all filters and the return format, but it lacks information about edge cases (e.g., empty results), how to combine filters, or when to use this tool vs. siblings. It also does not mention any prerequisites or side effects. The description is adequate for a simple listing tool but has gaps in usage guidance and error 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?

The input schema has 0% description coverage, so the description must fully explain each parameter. It does this excellently: every parameter (tag, username, state, top, page, per_page) is described with examples, allowed values, and defaults. For instance, state is explained with 'fresh', 'rising', or 'all', and top is described as a timeframe in days with examples. This adds substantial meaning 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 clearly states 'List articles from DEV.to with optional filters', specifying the verb (list) and resource (articles). It is clear, but it does not differentiate from sibling tools like devto_search_articles or devto_get_latest_articles, which also list articles in some form. The purpose is evident, but the lack of sibling distinction prevents 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 provides no guidance on when to use this tool versus its siblings. It does not mention alternatives like devto_search_articles for keyword-based queries or devto_get_latest_articles for recent articles. There is no explicit 'use this for X, use that for Y' guidance, leaving the agent to infer the appropriate 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. It does disclose that the query searches title and description and that it returns a list, which are helpful behavioral details. However, it does not mention any rate limits, authentication requirements, or potential error conditions. Since it is a read-only search, the lack of side-effect disclosure is less critical, but the description could be richer.

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 well-structured with an Args/Returns format, and every sentence adds information. It front-loads the purpose and keeps parameter details succinct. No redundant text, though it could be slightly more concise by omitting the 'Returns' line since an output schema exists.

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 search tool with 3 parameters and an output schema, the description covers the essentials: what each parameter does, the required nature of 'query', and the return type. It lacks details on error handling or pagination behavior beyond the per_page parameter, but given the simplicity of the tool and the output schema, it is sufficiently complete for an agent to invoke correctly.

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

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

Schema description coverage is 0%, so the description must compensate. It does so excellently: it explains the meaning of 'query' (searches title and description), gives examples for 'tag' (e.g., 'python', 'docker'), and specifies the valid range and default for 'per_page' (1-20, default 10). This adds substantial value 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 clearly states a specific action (search) on DEV.to articles with optional query and tag filters. It distinguishes itself from siblings like devto_list_articles by emphasizing the search aspect, though it doesn't explicitly contrast with them. The verb 'Search' and resource 'DEV.to articles' make the purpose 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 like devto_list_articles or devto_get_latest_articles. An agent could confuse it with listing all articles. The description does not mention that this is for keyword/tag-based search and not for general listing, nor does it suggest when one might prefer list_articles.

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

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

With no annotations, the description carries the full burden. It usefully discloses the DEVTO_API_KEY requirement, the fact that published=False unpublishes/drafts the article, and that it returns a confirmation with a link. However, it does not cover error behavior, permission requirements, or whether omitted fields are left unchanged or overwritten.

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 leads with the purpose and auth requirement, then presents a clean, scannable Args list covering every parameter, and ends with a brief Returns note. No sentence is wasted, and the structured format makes the content easy for an agent 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?

For a 9-parameter mutation tool with no annotations, the description covers all parameter semantics, authentication, and the return shape, and an output schema exists. The main gap is the absence of guidance on ownership restrictions and whether the article must belong to the authenticated user, which is relevant for an update 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?

Schema description coverage is 0%, so the description must compensate. It provides meaningful semantics for all 9 parameters, including the article_id requirement, the optional nature of each field, the 'up to 4' constraint on tags, and the meaning of published flags. This goes well beyond the bare schema types and defaults.

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: 'Update an existing article or draft on DEV.to.' It explicitly targets existing articles, which distinguishes it from the sibling devto_create_article, and the resource 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?

The description implies usage for updating existing articles or drafts, and 'existing' subtly excludes creation via devto_create_article. However, it never explicitly states when to use this tool versus alternatives, or when not to use it, leaving the routing partially to inference.

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