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

No annotations are provided, so the description carries the burden. It clearly states the creation action and the authenticated user scope, but it does not disclose behavioral details such as whether the title must be unique, what happens on duplicate titles, whether the operation is reversible, or what the response contains. The description adds some context beyond the schema but leaves 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 a single, clear sentence that front-loads the action and resource. It is concise and free of filler. It could add a bit more context about usage, but for its length it is well-structured.

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 no output schema and no annotations, the description is adequate but not complete. It tells the agent what the tool does and the scope, but it does not mention what the response will be, whether authentication is required (though implied by 'authenticated users profile'), or any constraints like nesting depth beyond what the schema mentions. Given the sibling tools and the simple parameter set, this is a minimum viable description.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters. The description adds the parenthetical examples for title and slugName, which are helpful but not essential. It does not add meaning beyond the schema for parentGlublerId 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 uses a specific verb ('Create') and resource ('Glubler (website list/collection)') and clarifies the scope ('on the authenticated users profile'). It clearly distinguishes from sibling tools like list_my_glublers, get_glubler_details, and delete_glubler.

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 creating a new collection on the authenticated user's profile, which is clear context. However, it does not explicitly state when to use this tool versus alternatives like glue_website or rename_glubler, nor does it mention any prerequisites (e.g., must be logged in).

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 add useful context by stating 'permanently' and 'child items' indicating irreversible cascading deletion. However, it omits details about authorization requirements, potential side effects, or error behavior, which are important 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 sentence with no redundancy. It efficiently conveys the action, scope, and permanence, 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 simple delete operation with one parameter and no output schema, the description covers the essential purpose and effect. However, it could be more complete by mentioning that the user must be authenticated or own the collection, or by indicating potential error conditions. These gaps are moderate given the tool's simplicity.

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 already fully documents the single parameter 'glublerId' with a clear description, so the baseline is 3. The tool description adds no extra meaning beyond what the schema provides, leaving parameter semantics entirely 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 clearly states a specific verb 'Delete' and a specific resource 'Glubler collection' and explicitly notes it includes child items and is permanent. This distinguishes it from siblings like create_glubler, rename_glubler, and get_glubler_details, so an agent can immediately understand its 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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites like authentication or ownership. It also doesn't state when not to use it, leaving the agent without context for selecting this tool over others.

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 implies a read operation via 'get' and states what is included, but doesn't disclose authentication requirements, error conditions, or whether the Glubler must be owned. Some transparency is present but incomplete.

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 conveys the 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?

For a simple one-parameter read tool with no output schema, the description names the primary return contents (websites and subglublers) but omits prerequisites like authentication or ownership, and doesn't specify what other 'details' are returned. Acceptable but not fully 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 input schema already describes glublerId as 'The unique Glubler ID string (e.g. uuid or client id)' with 100% coverage. The tool description adds no additional parameter-level meaning, so the baseline of 3 applies.

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

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

The description clearly states the tool gets details of a specific Glubler, including glued websites and subglublers. This distinguishes it from list_my_glublers (which lists) and get_public_glubler (which implies public access), though it doesn't 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?

There is no mention of when to use this tool versus alternatives like get_public_glubler or list_my_glublers. No exclusions or conditions are provided, 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?

With no annotations, the description carries the burden of behavioral disclosure. It usefully reveals that this is a public, unauthenticated read operation, but it does not describe the return shape, error behavior, or what exactly 'contents' includes.

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 compact sentence with the core action, targeting parameters, and authentication context all front-loaded. Every word contributes 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?

For a simple read-only tool with two fully documented parameters, the description is minimally viable. However, no output schema exists and the term 'contents' is vague, leaving ambiguity about what the agent can expect in the response.

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

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

Schema description coverage is 100%, so both parameters are already documented in the schema. The description restates 'username and slug' and adds the no-auth context, but adds no deeper semantics about parameter formatting or relationships.

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 (get) on a specific resource (public Glubler contents) using username and slug. It distinguishes itself through the 'public' qualifier and 'contents' focus, though it does not explicitly contrast with get_glubler_details.

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 'no authentication required' note gives a clear access context and implies use for public Glublers. However, there are no exclusions or guidance about when to prefer this over sibling tools like get_glubler_details or list_my_glublers.

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 discloses that the tool initiates browser authentication, that it should not be used when a token exists, and that it may trigger a 401-related user workflow. It also discloses a critical behavioral constraint: never ask the user to paste a token into chat. However, it doesn't describe what happens after authentication (e.g., whether it saves the token, whether it blocks until auth completes, or what the return value is). Still, the description adds substantial behavioral context 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 description is concise and front-loaded with the core purpose. It packs a lot of useful guidance into a few sentences without redundancy. The 401 workflow and the 'never paste token' rule are valuable additions, though the 401 instruction is somewhat tangential to the tool's primary purpose and could be seen as extra context. Still, every sentence earns its place, and the structure is 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?

Given the tool has only one optional parameter, no output schema, and no annotations, the description covers the essential context: when to use it, when not to use it, and how to handle a 401. It doesn't describe the authentication flow's outcome or return value, but for a login tool that initiates browser auth, the key decision context is well covered. The sibling tools are all Glubler operations, and the description clearly separates this auth tool from them. A 4 is justified because the description is nearly complete for the tool's simple purpose.

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

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

Schema description coverage is 100%, so the schema already documents the single optional parameter authUrl. The description adds context by explaining the default behavior (default is https://glubler.com or http://localhost:3000) and that it is optional. This adds meaning beyond the schema's bare description, though the schema already covers the parameter's existence and type. A 4 is appropriate because the description clarifies the default and optionality, which helps an agent decide whether to pass it.

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 tool's purpose: start browser authentication only when no token is configured or available. It distinguishes itself from token-based connections and sibling Glubler tools by explicitly saying token-based connections do not need this tool. The verb 'start browser authentication' is specific and the resource (Glubler auth) is clear.

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 explicit when-to-use guidance: only if GLUBLER_AUTH_TOKEN is not configured and no saved/active token is available. It also gives a clear alternative: use Glubler tools directly for token-based connections. It even includes a conditional workflow for 401 responses, telling the agent to ask the user to generate a new token and restart the MCP connection, and explicitly says never to ask the user to paste a token into chat. This is comprehensive usage guidance.

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

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

With no annotations provided, the description carries the full behavioral disclosure burden. It discloses the mutating nature ('Disconnect') and the concrete side effect of removing saved local credentials, which goes beyond what the tool name alone conveys. It does not detail token revocation or irreversibility, but for a zero-parameter logout the disclosed behavior is substantially 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?

A single, front-loaded sentence states the action and the key side effect with no filler. Every word earns its place, and the structure is optimal for a simple no-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?

Given zero parameters and no output schema, the description covers the essential outcome for the agent: the account becomes disconnected and local credentials are removed. The only minor omission is handling for the already-logged-out case, but that is not critical for correct invocation of a logout tool.

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

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

The tool takes zero parameters, so there is no parameter-level meaning the description must add. The baseline of 4 applies because no input semantics are needed, and the description does not introduce any confusing parameter-related claims.

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 ('Disconnect') and names the precise resource ('the authenticated Glubler account'), and adds the distinct side effect of 'remov[ing] saved local credentials.' This clearly separates logout from siblings like glubler_login and glubler_whoami.

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 intended usage is implied: call this when you want to end the authenticated session and clear local credentials. However, it provides no explicit when-not-to-use guidance or comparison with alternatives such as glubler_login or glubler_whoami, so the agent must infer routing from the tool name and 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?

With no annotations, the description must carry all behavioral disclosure. It mentions 'check connection status' but does not explicitly state that the operation is read-only, whether it fails without authentication, or any side effects. It lacks safety and error-handling context 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?

A single, well-structured sentence that front-loads the core verb ('Check') and resource. No redundant wording or 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 description is adequate for a parameterless whoami but lacks specificity about the returned 'details'. Without an output schema, the agent does not know what fields will be present (e.g., user ID, name, email). It could benefit from stating the nature of the returned data, though the purpose is generally understood.

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 covers everything vacuously (100% coverage). The description does not need to explain parameters; it correctly focuses on the operation and return value. Baseline 4 is appropriate since there is nothing to clarify.

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, specific purpose: 'Check connection status and return details of the currently authenticated Glubler user.' It uses a distinct verb ('check'/'return') and a precise resource ('currently authenticated user'), which differentiates it from login/logout (auth state changes) and other glubler operations (catalog, details, etc.).

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 its usage (checking who is authenticated) but does not explicitly contrast it with siblings like glubler_login or glubler_logout, nor does it state when not to use it. For a simple whoami tool, the purpose strongly suggests the context, but explicit routing is 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 provided, so the description carries the full burden of behavioral disclosure. It adds valuable behavioral context: that the tool automatically scrapes metadata and fetches the favicon if the website doesn't exist yet, which is a significant side effect beyond just saving. It does not mention any destructive actions, which is fine because there are none implied. It could clarify whether the operation is idempotent, but the automatic scraping disclosure is strong.

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

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

The description is two sentences long and efficiently conveys the core action and a key behavioral detail. It is front-loaded with the action and then adds context about automatic scraping. No wasted words, though it could be slightly more structured to separate purpose and behavior, but it is concise and readable.

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 3-parameter tool with no output schema, the description covers the action and an important behavior (auto-scraping). However, it does not describe any return value or how success/failure is indicated, and it doesn't handle edge cases like invalid URLs or user permissions. Given the simplicity, the missing output info is a minor gap, but the description could be more complete by mentioning potential errors or what happens on failure.

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

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

Schema description coverage is 100%, so the baseline is 3. The description mentions the website and Glubler referencing the parameters but adds no new information beyond what the schema already provides. It does not explain the 'title' parameter's override behavior, but the schema already states 'Optional custom title override'. Thus, the description adds minimal extra meaning.

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 ('glue/save'), the target resource ('a single website'), and the destination ('to a specific Glubler'). It also distinguishes this tool from its sibling 'glue_websites_batch' by explicitly saying 'single website'. It is action-oriented and 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 explains the intended use case (saving a single website to a Glubler) but does not explicitly state when to use the batch sibling instead. However, the singular focus is clear and the benefit of automatic metadata scraping is mentioned, which helps the agent decide to use this tool for single-URL scenarios. Missing explicit exclusions but acceptable for this clarity level.

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 carry the behavioral burden. It does add useful behavior: for each URL, Glubler checks gDatabase or scrapes/fetches missing metadata and favicons automatically. But it omits important side-effect details such as whether duplicates are handled, whether login is required, what happens on invalid URLs, 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 two tightly written sentences with the primary purpose front-loaded. Every word earns its place: the first sentence states scope, and the second explains the automatic metadata/favicon behavior. No filler or redundancy 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 mutating batch operation with no annotations and no output schema, the description is sufficient for a basic call but incomplete for confident use. It explains the action and processing behavior, but does not disclose return values, failure modes, authentication expectations, or impact on an existing Glubler's contents.

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 already documents both parameters with 100% coverage, so the description does not need to restate them. The 'for each URL' phrasing reinforces how the urls array is processed, but it adds no new format or constraint details beyond what the 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 uses a specific verb, 'Glue/save', names the resource 'Glubler', and emphasizes 'multiple websites at once', which clearly marks this as the batch counterpart to the singular glue_website sibling. This makes the tool's purpose unambiguous and distinguishable.

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 'multiple websites at once' clearly communicates the batch-use context, and an agent can infer that single-website cases should use glue_website instead. However, the description does not explicitly name that alternative or state when not to use this tool, so it misses full routing clarity.

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 behavioral disclosure burden. 'Retrieve' communicates read-only intent, and the mention of 'child subglublers and website count' adds useful detail. However, it does not disclose behavior around unauthenticated calls, pagination, output structure, or error conditions.

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 that defines the resource, states the retrieval action, and adds relevant return details without any filler. Every clause contributes meaningful 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 no-parameter, no-output-schema read tool, this description is largely sufficient for an agent to select and invoke it: it names the action, the scope, and key return content. It could be more complete by clarifying whether 'website count' is per Glubler or total, and by noting authentication requirements or list structure, but these are not blocking for a zero-parameter 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?

The tool has zero parameters, so the input schema is empty and there is little to document. The description adds value by clarifying the scope of what is returned (the authenticated user's Glublers, including subglublers and website counts), which is the only parameter-like context that matters here.

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

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

States a specific verb ('Retrieve'), a clear resource (authenticated user's Glublers), and clarifies what Glublers are with the parenthetical definition. It also distinguishes itself from siblings by scoping to the authenticated user's own collections and by mentioning subglublers and website counts, which get_public_glubler and search_glubler_catalog do not promise.

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 tool is for fetching the caller's own bookmark collections, which gives some contextual guidance. However, it does not explicitly state when to use this tool versus get_public_glubler, get_glubler_details, or search_glubler_catalog, nor does it mention exclusions or alternatives.

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 for behavioral disclosure, but it only restates the core operation and scope. It does not mention permissions, side effects on subglublers or links, reversibility, or what happens after a rename. The 'auto-uniquified' detail for slugs appears only in the schema, not the description, so the description adds little behavioral value beyond the structured fields.

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 appropriately short and front-loaded with the action in the first sentence. The second sentence clarifies the fields affected. The third sentence ('Works for both top-level glublers and subglublers') is somewhat redundant with the glublerId schema description but still provides useful scope without bloating the text.

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

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

For a mutation tool with no annotations and no output schema, the description is adequate but not complete. The schema fully documents the parameters, so the main gap is behavioral context: no mention of authentication, cascading effects on subglublers, or response/errors. Since the operation is simple and the params are well-covered, this is a minor gap rather than a critical one.

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

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

Schema description coverage is 100%, so the baseline is 3. The description does not add parameter-specific meaning beyond the schema; it only summarizes that title and/or slug are updated, which is already evident from the schema's property descriptions. No extra semantic guidance is provided.

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: 'Rename a Glubler or subglubler (nested collection).' It then clarifies what changes ('Updates its display title and/or URL slug') and explicitly covers both top-level and nested entities, clearly distinguishing this tool from siblings like create_glubler, delete_glubler, and list_my_glublers.

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 rather than explicit: the description states that it works for both top-level glublers and subglublers, which hints at applicability, but it does not name alternatives or conditions for when not to use this tool. There is no explicit when/when-not guidance, though the sibling list makes it the obvious rename tool.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states what the tool searches, but does not disclose whether it is read-only, the return format (list vs. suggestions), ordering, pagination, or error behavior. The limit parameter in the schema hints at a list, but the description itself adds no behavioral context beyond the basic search 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, compact sentence that states the action and scope clearly. It is appropriately front-loaded with the verb and resource. No filler or redundancy, making it concise and easy to parse. It lacks structured details, but the brevity is not a flaw given the tool's simplicity.

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 search tool with 2 well-documented parameters and no output schema, the description is adequate but has gaps. It does not explain what the search returns (e.g., a list of glubler names, suggestions, or full objects), how results are ranked, or behavior for empty queries. Since there are no annotations to cover safety or side effects, the description could be more explicit about the tool's behavior. Overall, it is minimally sufficient but not comprehensive.

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

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

Schema description coverage is 100%: both query and limit have descriptive text in the schema. The description itself does not add any extra meaning beyond the schema, so the baseline of 3 applies. The schema already explains query examples and the limit's default/max, which is sufficient for parameter understanding.

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 ('Search') and a specific resource ('existing websites and games/tools/news already cataloged in Glublers gDatabase'). It clearly distinguishes this from sibling tools like list_my_glublers or get_glubler_details, which operate on specific user-owned or public glublers. The purpose is unambiguous, though it does not explicitly name alternative tools.

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

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

The description provides no guidance on when to use this tool versus siblings. It does not mention scenarios where this search is appropriate (e.g., before creating a new glubler to check duplicates) or when to prefer other tools like get_glubler_details for fetching a known item. The usage context is implied only by the tool's 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, the description carries the full burden of behavioral disclosure. It states that a website is removed from a collection, but does not clarify whether removal is reversible, whether the website is deleted from the system or merely unlinked, or whether special permissions are required. This is a significant gap 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, front-loaded sentence with no filler. For a two-parameter tool with a simple operation, this is appropriately concise and structured.

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 schema fully documents both required parameters, and the operation is simple. However, the description omits behavioral context such as side effects, reversibility, and how this relates to sibling tools clusion. It is the minimum viable amount of information for an agent to understand the operation, but not much more.

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

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

Schema description coverage is 100%, so both parameters are already documented. The description adds only a light mapping of glublerId to 'specific Glubler collection' and url to 'website domain/URL', but no extra formatting, constraints, or relationship details beyond 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 uses a specific action verb ('Remove'), names the object ('a website'), and scopes it to a Glubler collection. It does not explicitly contrast with the sibling tools like glue_website or delete_glubler, but the operation is clearly distinguishable by its inverse relationship to glue_website.

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 glue_website, glue_websites_batch, or delete_glubler. No prerequisites, exclusions, or alternative recommendations are provided, so usage must be inferred entirely from the action verb and tool name.

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