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. 'Arbitrary' hints that any method can be used, but it does not disclose authentication requirements, destructive potential, rate limits, or how raw responses are returned.

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 arguably under-specified, but structurally it is efficient and 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 generic passthrough tool with no annotations and no output schema, the description should explain when this is appropriate, safety considerations, and response handling. It omits all of these.

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 method, endpoint, and params_json are already fully documented in the schema. The description adds no parameter meaning beyond that, which is the baseline expectation when the schema is complete.

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?

It states a clear verb and resource: execute GitLab REST API requests. It implicitly distinguishes itself from the GraphQL sibling by naming REST, but does not differentiate from the many specific REST operation 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 gives no guidance on when to use this generic escape hatch versus the dedicated siblings such as gitlab_create_issue or gitlab_get_project. It also gives no warning about when not to use it.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds merge-specific behavior: immediate merge vs auto-merge, optional source-branch removal and squash settings, the returned wrapper/model, and specific error cases, though it omits approval/permission prerequisites.

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 front-loaded with the core action and follows with the auto-merge rule, parameter list, return value, and errors. It is generally efficient, though the kwargs-style Args section is slightly awkward and some listed body parameters duplicate schema fields without added syntax.

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?

There is no output schema and the input schema has 13 largely undocumented properties with 0% description coverage. The description covers the core merge operation, auto-merge, return wrapper, and error behavior, but it leaves relevant schema parameters unexplained and does not mention approval or permission prerequisites that matter for a merge action.

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 usefully names project_id, merge_request_iid, merge_when_pipeline_succeeds, and several merge body parameters, and clarifies that project_id and merge_request_iid are required despite the schema's zero required fields, but it does not explain many other schema properties such as group_id, user_ids, rule_type, report_type, approval_rule_id, approvals_required, or protected_branch_ids.

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: 'Accept (merge) a merge request.' It also distinguishes the action from related siblings such as approve_merge_request by clarifying that this actually performs the merge, including the auto-merge variant.

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

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

The description gives a clear conditional usage rule: pass merge_when_pipeline_succeeds=True to set auto-merge rather than merging immediately. It does not explicitly compare against gitlab_approve_merge_request or gitlab_cancel_merge_when_pipeline_succeeds, but the main when-to-use distinction is present.

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

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

The description states that DELETE is an accepted method and that arbitrary request bodies are sent, while annotations declare destructiveHint=false. An agent reading this will understand the tool can perform destructive operations (DELETE/POST/PUT against arbitrary endpoints), directly contradicting the annotation. The error documentation (ValueError, ParameterError, HTTPError) is useful, but the safety-profile contradiction dominates.

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 is front-loaded in the first sentence, followed by structured Args/Returns/Raises sections that map cleanly onto the actual schema. The docstring-style formatting is a little verbose but every line carries information that the bare schema lacks.

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 an open-world generic HTTP tool with no output schema, the description covers methods, both body parameters, the return wrapper, and error types. It omits practically important context: endpoint path format, authentication expectations, and any caution about mutating endpoints, which matter a great deal for an arbitrary-request tool.

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

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

Schema description coverage is 0%, so the description must compensate, and it largely does: it names all four parameters, lists the accepted HTTP methods (GET, POST, PUT, DELETE) that the schema leaves as an unconstrained string, and clarifies that 'data' is for form data while 'json' is for a JSON body. It does not explain the expected endpoint format (e.g., '/projects/:id' vs a full URL), which is the main remaining 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 first sentence states a specific verb and resource: make a custom API request to the GitLab server. The word 'custom' implicitly distinguishes it from the hundreds of dedicated gitlab_* operation tools, but the description never explicitly says it is the escape hatch when no dedicated tool exists, and a sibling literally named 'api_request' muddies the 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 explicit when-to-use or when-not-to-use statement, no guidance to prefer a dedicated tool first, and no note about the sibling 'api_request' tool. Usage is only implied by the word 'custom' and the contrast with the concrete operation tools in the 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?

Annotations already state readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true, so the mutation profile is partially covered. The description adds useful return-wrapper and error details, but does not explain permissions, side effects, or idempotency beyond what the annotations say.

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 front-loaded with the core action and organized into Args, Returns, and Raises sections. It is efficient overall, though the kwargs examples add limited value.

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 13-parameter mutation tool with 0% schema description coverage and no output schema, the description is incomplete. It clarifies the return wrapper and two key parameters, but does not explain the many other parameters, required inputs, or permission requirements.

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 13 parameters, and the description only names project_id and merge_request_iid. It does not explain the remaining parameters or clarify why they exist for an approval action, leaving most parameter semantics undocumented.

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

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

The description states a specific verb and resource: 'Approve a specific merge request.' This is clear and distinguishable from most tools, though it does not explicitly contrast with close siblings such as gitlab_accept_merge_request or gitlab_unapprove_merge_request.

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 like accepting or unapproving a merge request. It only lists error conditions, not usage context or prerequisites.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false and openWorldHint=true, so the safety profile is partly covered. The description adds value by naming the return wrapper (original response plus a Project model) and two error classes (MissingParameterError, ParameterError), but says nothing about required role/permission or whether archiving is reversible via unarchive.

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 line is front-loaded and short, but the remaining text is autogenerated docstring boilerplate ("Args: **kwargs: Additional parameters for the request") that conveys almost nothing for this specific tool. No waste-free, but not bloated either.

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 126 parameters at 0% schema coverage and no output schema, the definition is too thin: no permission requirements, no idempotency guidance, no statement of effect on project members/settings. The return and error notes help but leave major 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% across 126 parameters, so the description carries the full burden and largely fails. It mentions only project_id, and only vaguely as an example ("e.g., project_id") inside a generic **kwargs docstring, leaving the other 125 parameters entirely uninterpreted.

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

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

The first sentence gives a specific verb and resource ("Archive a specific project"), which is unambiguous. It does not differentiate from the natural counterpart gitlab_unarchive_project or from gitlab_edit_project, so it stops short of a 5.

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

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

There is no statement of when to use this tool versus alternatives, no prerequisite or permission context, and no mention of gitlab_unarchive_project as the inverse operation. The agent must infer everything about applicability.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true, so the safety profile is covered. The description adds value beyond that by clarifying that only the queued auto-merge is cancelled (not the MR itself) and by documenting the return wrapper with a MergeRequest model plus two specific error types. It still does not state required permissions or what happens if no auto-merge is queued.

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 sentence is front-loaded and efficient, and the Args/Returns/Raises blocks are scannable. Some docstring boilerplate ('**kwargs', 'A wrapper containing the original response') adds little, but nothing is redundant.

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?

Return shape and error conditions are documented despite no output schema, and the scope of the cancellation is clarified. For a simple state-toggling action this is close to sufficient; the gaps are permissions/authorization needs and any note on schema-vs-description disagreement about required parameters.

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% across 13 parameters, so the description carries the burden; it does identify the only two meaningful inputs (project_id, merge_request_iid) and marks them required, which the schema's empty required list does not. However, it leaves the other 11 schema properties (group_id, approval_rule_id, rule_type, etc.) completely unexplained, so an agent cannot tell whether they are spurious or usable.

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 precise verb ('Cancel') and a specific resource ('merge request's queued "merge when pipeline succeeds" (auto-merge)'), with the parenthetical disambiguating the GitLab-specific feature. An agent can distinguish this from gitlab_unapprove_merge_request, gitlab_accept_merge_request, or pipeline-cancel siblings without opening a schema.

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

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

The description implies usage (you have an MR with auto-merge queued and want to withdraw it) but never states when to prefer this over related siblings such as gitlab_unapprove_merge_request or gitlab_graphql_ops_delete_merge_request. No prerequisites or preconditions are given, so the agent must infer the scenario.

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

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

Annotations already declare this is a non-readonly, open-world, non-idempotent, non-destructive operation. The description adds useful failure-mode context (MissingParameterError, ParameterError) and says the return value wraps a Job model. But it does not explain cancellation semantics beyond the verb, and the '**kwargs' framing obscures the actual parameter contract.

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

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

The first sentence is appropriately front-loaded, but the Args section is generic boilerplate that mischaracterizes the explicit schema as kwargs. The Returns and Raises sections add some value, but the structure wastes space on inaccurate parameter framing rather than documenting the real inputs.

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 11 parameters, zero schema descriptions, no output schema, and minimal annotations. The description is far too thin for that complexity: it does not document most parameters, does not describe what happens to a running job, and does not explain pagination or scope-related inputs.

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

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

Schema description coverage is 0% for 11 parameters, so the description must carry the burden. It only mentions project_id and job_id as examples under '**kwargs', leaving pagination parameters, scope, include_retried, pipeline_id, and job_variable_attributes completely unexplained. It also implies project_id and job_id are required, while the schema marks all parameters optional with null 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 first sentence states a specific verb and resource: cancel a specific job within a project. It implicitly distinguishes itself from siblings such as gitlab_retry_project_job, gitlab_run_project_job, and gitlab_erase_project_job by naming the cancel action and job resource. However, it does not explicitly contrast with the similarly named pipeline-cancel or run-job 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 gives no when-to-use guidance, no preconditions, and no alternatives. It does not say when cancellation is appropriate versus retrying, erasing, or running a job, nor does it mention required permissions or job states that can be cancelled.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, so the safety profile is largely covered. The description adds genuinely useful return behavior ('wrapper containing the original response and a Commit model') and an error case, but says nothing about the non-idempotent side effect — repeated calls creating multiple branches — or what 'into a new branch' means concretely (start_branch vs ref).

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 statement is correctly front-loaded, but the rest is autogenerated docstring scaffolding: a '**kwargs' Args line that conveys nothing about the real 40-param surface, plus generic Returns/Raises boilerplate. Little of the text 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?

For a 40-parameter, non-idempotent mutation with no output schema, the description should at minimum identify the required project_id and the commit/target-branch params, and explain what the cherry-pick creates. None of that is present, leaving the agent to guess from bare parameter names.

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 40 parameters, so the description must carry the whole burden, and it does not: the only parameter text is '**kwargs: Additional parameters for the request,' which is boilerplate and actively misleading given 40 explicitly named properties. The parameters that determine correctness — commit_hash, branch/ref, start_branch, start_project — are never mentioned.

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

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

The first sentence gives a specific verb and resource — 'Cherry-pick a commit into a new branch' — which is clearly a GitLab commit operation. It does not, however, distinguish itself from nearby siblings such as gitlab_revert_commit or gitlab_create_commit, leaving the agent to infer the difference.

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 over gitlab_revert_commit or gitlab_create_commit, nor on prerequisites (project_id is required; commit_hash/branch/ref appear to be needed but are unstated). The only usage-adjacent sentence is an error note about ParameterError.

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

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

Annotations already declare non-read-only, non-idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds that it returns a Branch model and raises MissingParameterError/ParameterError, which is useful error-behavior context. It omits what happens on duplicate branch names and why pagination params exist for a create call.

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

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

The one-line summary is front-loaded and efficient, but the rest is auto-generated docstring boilerplate (Args/Returns/Raises) whose Args section conveys almost nothing. It is short, but several sentences don't earn their 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?

A 7-parameter mutation tool with no output schema and zero schema coverage needs the description to explain which parameters are essential (branch/ref semantics) and what pagination parameters mean here. It does not, leaving key calling details to inference.

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

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

Schema description coverage is 0%, so the description must carry parameter meaning, but it only lists three names via a generic **kwargs clause (project_id, branch, ref) without explaining that branch is the new branch name and ref is the source ref. The page, per_page, max_pages, and api_parameters parameters are completely undocumented anywhere.

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 line states a specific verb and resource ("Create a new branch in a project"), which is unambiguous. It does not distinguish itself from nearby siblings such as gitlab_create_tag or gitlab_create_commit, but the core purpose 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?

There is no guidance on when to use this versus alternatives (gitlab_get_branch, gitlab_delete_branch, gitlab_protect_branch, or generic api_request). The Raises section documents failure modes, not usage 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?

Annotations already declare the key safety profile (non-read-only, non-idempotent, open-world, non-destructive). The description adds only generic return/error context: a response wrapper with a Commit model and ParameterError for invalid parameters. It does not explain the effects of committing, branch behavior, force semantics, or authentication requirements.

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 is front-loaded in one clear sentence, but the following Args/Returns/Raises block is boilerplate. The kwargs line does not earn its place and is especially inadequate for a tool with 40 specific 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 40-parameter mutation tool with no schema descriptions, no output schema, and only partial annotation coverage, the description is far too thin. It mentions the return wrapper and error type but omits nearly all information needed to invoke the tool correctly, such as actions, branch, force, and path semantics.

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 40 parameters with 0% description coverage, and the description provides no meaningful parameter semantics. Its only parameter text is "**kwargs: Additional parameters for the request," which is both unhelpful and misleading given the enumerated 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 and resource: "Create a new commit." This clearly distinguishes it from read-oriented siblings like gitlab_get_commit and from related mutations like gitlab_cherry_pick_commit or gitlab_revert_commit, though it does not explicitly name those alternatives.

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 gitlab_create_branch, gitlab_create_tag, or gitlab_create_commit_comment. No prerequisites, exclusions, or contextual conditions are provided.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true, so the safety profile is largely covered. The description adds generic return and error behavior by mentioning a wrapper response and ParameterError, but it does not disclose permissions, side effects, or visibility of the comment.

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 short and front-loads the purpose, but it includes boilerplate Args/Returns/Raises sections. The '**kwargs' line is vague and the Returns/Raises details are generic, so not every sentence 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?

For a mutation tool with 40 parameters and no schema descriptions, the description is far too sparse. It states the basic purpose and return/error behavior, but it leaves an agent without the parameter semantics needed to call the tool 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 40 parameters with 0% description coverage, and the description does not compensate. It only says '**kwargs: Additional parameters for the request,' which gives no meaningful semantics for required fields like project_id or optional fields like commit_hash, note, line, and path.

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: 'Create a comment on a commit.' This clearly tells an agent what the tool does, but it does not differentiate the tool from siblings such as gitlab_get_commit_comments or gitlab_create_note.

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. It does not mention prerequisites, exclusions, or related tools like gitlab_get_commit_comments or gitlab_create_note.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true. The description adds useful behavior by noting that project_id is required and that errors are raised for missing or invalid parameters, plus it says the return wraps the response and an Environment model. It does not disclose permissions, side effects, 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 purpose is front-loaded and the response uses clear sections. However, the Args section is vague boilerplate rather than meaningful parameter guidance, which weakens the structure.

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 126 mostly undocumented parameters, no output schema, and only minimal annotations, the description is not complete enough for an agent to know which parameters to supply. It covers purpose, one required value, and error types, but not the parameter surface.

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 126 parameters and 0% schema description coverage, the description must compensate but only mentions **kwargs with project_id and name as examples. It adds that project_id is required, but leaves the vast majority of parameters 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 states a specific verb and resource: "Create a new environment for a project." This distinguishes it from siblings like gitlab_get_environment, gitlab_update_environment, and gitlab_delete_environment, though it does not explicitly name those alternatives.

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 only implicit usage context. It does not state when to prefer this tool over gitlab_update_environment or gitlab_get_environment, nor does it describe prerequisites beyond the project_id error.

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

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false and destructiveHint=false, so the mutation profile is covered. The description adds nothing on top – not that a duplicate call creates a second epic (non-idempotent), not what permissions or licensing are required, and not what happens on invalid input. With annotations doing the work, this is a bare pass.

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?

It is short and front-loaded, but this is under-specification rather than conciseness: a single eight-word sentence cannot carry the load of a six-parameter mutation. Nothing here is wasted, but far too much is missing.

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 creation mutation with six undocumented parameters, no output schema, and no annotations explaining resource requirements, the description is wholly inadequate. An agent cannot tell which fields are needed to succeed, what `epic_iid` means on a create, or what the call returns.

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?

Six parameters at 0% schema description coverage, and the description documents none of them. Critically, all six are optional, so it never clarifies that title/group_id are effectively needed, nor what the opaque `data` object or `state_event` accepts. The description provides zero compensation for a completely undocumented schema.

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

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

States a specific verb and resource ('Create a new group epic'), which clearly separates it from issue/milestone creation and from the get/update/delete epic siblings. It does not, however, mention anything that distinguishes it from gitlab_update_epic beyond the verb, nor does it note the group scoping implied by group_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?

There is no guidance on when to create an epic versus a sibling item, no prerequisites (e.g., epic must be enabled on the group, requires group-level permissions), and no pointer to gitlab_get_epic or gitlab_update_epic for follow-up. The single sentence leaves the agent to infer everything about 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?

Annotations already declare this is a non-readonly, open-world, non-idempotent, non-destructive mutation, so the safety profile is covered. The description adds a little beyond that (response wrapper containing a DeployToken model, ParameterError/MissingParameterError behavior), but omits the operationally important fact that the token value is exposed once and that re-invoking creates a duplicate token.

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

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

It is short and front-loaded with the purpose, but the Args/Returns/Raises docstring boilerplate is low-value, and the '**kwargs: Additional parameters ... (e.g., ...)' line misrepresents an explicit 11-property schema.

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

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

A mutation tool with 11 undocumented parameters and no output schema needs more: required fields, meaning of expires_at, what project_id/username do in a group-scoped call, and the one-time visibility of the token secret are all absent. As written an agent can invoke it but is likely to guess required inputs incorrectly.

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

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

Schema description coverage is 0% across 11 parameters, so the description must compensate and largely does not: it only gestures at group_id, name and scopes inside a generic '**kwargs' line. Pagination-ish parameters (page, per_page, max_pages), expires_at, token, username and api_parameters are unexplained, and although the schema marks nothing required, the description gives no hint which fields GitLab actually demands.

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 line states a concrete verb and resource ('Create a deploy token for a group'), which is enough to separate it from gitlab_create_project_deploy_token and the get/delete deploy-token siblings. It does not explicitly name those alternatives, 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?

No guidance on when to use this versus the project-scoped deploy token tool, no mention of required GitLab permissions (owner/maintainer), and no note that the generated token secret is only retrievable at creation time. The only hints are generic Raise clauses.

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

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, so the mutation profile is covered. The description adds nothing on top of that: no mention of required identifiers, permission needs, or side effects such as triggering notifications or webhooks.

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 short but empty rather than efficient, so brevity is under-specification, not conciseness. There is no front-loaded information because there is essentially no information.

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

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

For a 15-parameter mutation with no parameter documentation, no output schema, and ambiguous required fields, this description is completely inadequate. The agent cannot determine what to pass or what happens on success.

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 15 parameters and the description supplies no parameter meaning at all. Critically, zero parameters are marked required, yet creating an issue realistically needs project_id and title, and the description gives the agent nothing to resolve that ambiguity.

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 sentence "Create a new issue" only restates the tool name and title without adding scope, target resource, or distinguishing detail. It does communicate a write of an issue rather than a merge request, but nothing beyond what the identifier already says.

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 rather than gitlab_update_issue, gitlab_api_request, or the GraphQL ops variants, and no prerequisites stated. The agent must infer that this is the creation path 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?

Annotations already declare readOnlyHint=false, destructiveHint=false, openWorldHint=true, idempotentHint=false, so the safety profile is covered. The description adds nothing beyond that — no mention of required permissions, duplicate-name behavior, or whether the call is scoped to a project or a group.

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 short, but it is under-specified rather than concise — there is no wasted text because there is almost no text at all.

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

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

A six-parameter mutation tool with zero parameter documentation, no required-field information, and no output schema demands far more explanation than one four-word sentence provides.

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?

Six parameters with 0% schema description coverage and no required fields, yet the description names none of them. It is especially unhelpful because the schema contains both "name" and "new_name" (the latter typical of an update), with nothing to disambiguate them.

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?

"Create a new label" restates the tool name (gitlab_create_label) and title ("Create label") almost verbatim, adding only the word "new". It never says what a label attaches to (project vs. group) or how it differs from gitlab_update_label or gitlab_get_label.

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 versus gitlab_update_label, gitlab_get_labels, or gitlab_delete_label, and no mention of prerequisites such as a project/group context. The agent must infer everything 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.