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

Annotations already declare readOnly=false, idempotent=false, destructive=false, openWorld=true, so the safety profile is covered. The description adds the failure mode (MissingParameterError when plugin_id absent) and the return type, which is useful, but says nothing about what activation actually does to the instance (restarts, permission requirements, async behavior) for a non-idempotent system mutation.

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?

Purpose is front-loaded and the text is short, but it is a raw RST docstring with mechanical directives (:type plugin_id: str) that add no information. Every sentence earns its place marginally, though the formatting is developer-facing rather than agent-facing.

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 43-parameter, non-idempotent system-mutating call with no output schema and zero schema descriptions, the definition is far too thin: it explains neither the role of the many sibling-derived parameters nor the operational consequences of activation. It covers only the minimum path (one required argument) and the return type.

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 43 parameters, and the description documents only plugin_id — leaving 42 parameters entirely unexplained in both schema and prose. The one documented parameter is meaningful ('the ID of the plugin to be activated'), but the description does not remotely compensate for the coverage gap.

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

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

States a specific verb and resource ('Activate a plugin') and names the identifying parameter, so the agent immediately knows the operation. It does not differentiate from close siblings such as servicenow_rollback_plugin or servicenow_batch_install, which is the only thing separating it from 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 alternatives like servicenow_rollback_plugin, batch_install, or app_repo_install. No prerequisites stated (e.g., plugin must exist/be downloaded, admin rights required), and no exclusions or context beyond the bare 'activate' action.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, and openWorldHint=true, so safety basics are covered structurally. The description adds nothing beyond that - no indication of what the action does to a CI's state, whether it is reversible, or what preconditions must hold.

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

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

A single, front-loaded sentence with no filler. It is efficient, but brevity here reflects under-specification rather than disciplined economy.

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 7-parameter, non-idempotent mutation with an openWorld hint, no output schema, and zero schema documentation, the description is far too thin. An agent cannot determine required preconditions, parameter meaning, or the effect of the call from this text alone.

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 7 parameters, and several (opsLabel, leaseTime, oldOpsLabels, oldActionNames, requestorId) are opaque, non-self-explanatory names. The description's mention of 'action' and 'list of CIs' loosely maps to actionName/sysIds but leaves the other five parameters entirely unexplained.

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

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

States a specific verb (adds) and resource (a CI lifecycle action to a list of CIs), which identifies the operation clearly. It does not, however, differentiate itself from close siblings like servicenow_delete_ci_lifecycle_action or the servicenow_check_ci_lifecycle_* validators, so an agent still has to infer the boundary.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. The sibling set contains explicit precondition validators (check_ci_lifecycle_compat_actions, check_ci_lifecycle_not_allowed_action, check_ci_lifecycle_requestor_valid), and the description gives no hint that these should be consulted first.

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 real value by disclosing error behavior (MissingParameterError when table/data are absent, ParameterError on JSON serialization failure) and implies table/data are effectively required despite the schema marking nothing required. It does not address permissions, retries, or the side effects of creating records.

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 orderly Sphinx-style field/return/raises blocks. It is a bit boilerplate-heavy for a tool whose usable surface is only two parameters, but every line is structured and none is wasted prose.

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

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

With 16 parameters, 0% schema description coverage, and no output schema, the description is far too thin. It hints at the return ('parsed Pydantic model with information about the added record') and documents raised errors, but leaves the bulk of the input surface and any table-name conventions unaddressed.

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

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

Schema description coverage is 0% and there are 16 parameters, so the description carries the burden of explaining them. It documents only two (table and data) and says nothing about the fourteen ServiceNow sysparm_* / api_parameters / name_value_pairs options, leaving their purpose and valid values entirely unexplained.

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

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

States a specific verb and resource: 'Add a new record to the specified table.' The name and description clearly distinguish it from update_table_record, patch_table_record, and delete_table_record in the sibling set. It stops short of explicitly naming those alternatives, so it lands at 4 rather than 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 when-to-use, when-not-to-use, or alternative guidance is given. There is no mention of when to prefer this over servicenow_update_table_record or servicenow_api_request, nor any prerequisites such as required table access or schema knowledge.

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 declare readOnlyHint=false, openWorldHint=true, and destructiveHint=false, which establishes a basic safety profile. However, the description adds nothing about authentication requirements, rate limits, side effects, or response behavior, leaving most behavioral expectations to inference.

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 extremely short but fails to earn its place because it is tautological and under-specified. An appropriately sized description for a 4-parameter generic API tool would include at least a brief explanation of the operation and its 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?

With 4 parameters, 0% schema coverage, no output schema, and only generic annotations, the description is entirely inadequate. It omits everything an agent would need to call the tool correctly, such as endpoint format, method semantics, and payload expectations.

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

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

Schema description coverage is 0%, and the description provides no explanation of the method, endpoint, data, or json parameters. It does not compensate for the complete lack of schema descriptions, so an agent cannot infer valid values or formats.

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 'Invoke the api_request operation' merely restates the tool name and title; it gives no specific verb-resource distinction and does not differentiate from siblings like servicenow_batch_request. It provides no information about what API or resource is being requested.

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 generic API request versus the many specific ServiceNow tools (e.g., servicenow_get_incident, servicenow_create_change_request) or servicenow_batch_request. No prerequisites, alternatives, or exclusions are mentioned.

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 safety profile (readOnly=false, openWorld=true, idempotent=false, destructive=false). The description does add genuinely useful behavior beyond that: it discloses that app_sys_id and scope are effectively required (via MissingParameterError) even though the schema marks all 43 params optional, and it documents a type-validation error. It does not, however, explain what actually happens on the target instance when changes are applied, so it stops short of rich behavioral context.

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

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

The reST docstring layout is orderly (purpose, params, return, raises) and front-loads the purpose, but the opening sentence wastes words on "based on the provided parameters" and the parameter block is thin relative to the schema's size.

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 43-parameter, no-output-schema mutation tool, the description is far too sparse: it documents a small fraction of inputs and only vaguely characterizes the return as "a parsed Pydantic model with information about the applied changes." An agent could not reliably assemble a correct invocation from this.

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 43 parameters, so the description carries the full burden and only discharges it for four fields (app_sys_id, scope, branch_name, auto_upgrade_base_app). The other ~39 parameters, including many plausibly meaningful ones (repo_url, update_set_id, credential_sys_id, force_commit), are left entirely unexplained.

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

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

The description names a specific verb and resource ("Apply remote source control changes"), but the qualifier "based on the provided parameters" is filler that adds nothing, and it does nothing to distinguish this from siblings like servicenow_app_repo_rollback, servicenow_batch_install, or the update_set_* family. The core purpose is inferable but not sharpened against near-neighbors.

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

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

There is no when-to-use guidance, no prerequisites, and no mention of any alternative tool. With a large set of source-control/deployment siblings available, the agent gets no routing signal for choosing this one over them.

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 safety profile (readOnlyHint=false, idempotentHint=false, destructiveHint=false, openWorldHint=true), so the bar is lower. The description usefully discloses two failure modes (MissingParameterError for app_sys_id/scope, ParameterError for a non-boolean auto_upgrade_base_app), but says nothing about side effects on the instance, reversibility, or what 'installing' actually affects.

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?

Purpose is front-loaded in the first line, and the docstring conventions keep it scannable. The :param:/:type: duplication of the same name and type is mildly redundant, but nothing is genuinely wasted.

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

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

For a 43-parameter, non-idempotent write operation with no output schema and zero schema descriptions, this is thin: 5 parameters explained, a vague ':return: parsed Pydantic model', and two error cases. It omits preconditions, instance impact, and any hint about the 38 remaining fields.

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 43 parameters, so the description carries the full burden and documents only 5 of them (app_sys_id, scope, auto_upgrade_base_app, base_app_version, version). The remaining 38 parameters are undocumented in both the schema and the description, a severe gap for a tool with this many inputs.

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: installing an application from the repository. It is clear enough to distinguish from sibling reads like servicenow_get_application, but it never names or contrasts with close siblings such as servicenow_app_repo_publish, servicenow_app_repo_rollback, or servicenow_batch_install, so differentiation is left to inference.

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

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

There is no when-to-use, when-not-to-use, or alternative-tool guidance; the phrase 'based on the provided parameters' is circular. The :raises: block implies app_sys_id and scope are mandatory, which is prerequisite-adjacent, but no usage context is actually given.

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 safety profile (readOnly=false, idempotent=false, openWorld=true, destructive=false). The description adds genuinely new context via ':raises MissingParameterError' naming required inputs, which annotations do not cover. It does not, however, describe side effects of publishing (what changes in the repo, reversibility, auth needs), and it conflicts with the schema's zero-required-parameter declaration.

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?

Docstring layout is readable and front-loads the action, but ':param/:type' pairs largely restate type information already in the schema, and 'based on the provided parameters' is filler. Moderate efficiency with some redundancy.

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 43-parameter, open-world, non-idempotent write operation with no output schema, the description is thin: no side-effect disclosure, no usage routing, and nearly all parameters undocumented. An agent would have to guess at the meaning of most 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% across 43 parameters, so the description carries the full burden. It documents only 4 (app_sys_id, scope, dev_notes, version) with brief meanings, leaving roughly 39 parameters entirely undocumented in both schema and description. Marginal compensation for a very large coverage gap.

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

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

States a specific verb and resource: 'Publish an application to the repository.' An agent understands the core action. However, it does not differentiate from close siblings like servicenow_app_repo_install, servicenow_app_repo_rollback, or servicenow_import_repository, so the boundary between publishing and installing is left to inference.

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

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

No when-to-use guidance, no prerequisites, and no mention of alternatives. The phrase 'based on the provided parameters' is not usage guidance. An agent cannot tell from this text when publishing is appropriate versus installing or importing.

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 operation is a non-read (readOnlyHint=false), non-idempotent, open-world write, so the safety profile is largely covered. The description adds one genuinely useful behavioral fact not in the schema: a MissingParameterError is raised when app_sys_id, scope, or version is absent. It does not explain what the rollback actually reverts or what state is discarded, which matters for a mutation tool.

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

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

The docstring is structured and low on redundancy, with params, return, and raises clearly separated. However, the opening line's 'based on the provided parameters' is empty filler, and documenting only 3 of 43 params makes the structure informative for a small fraction of the actual surface.

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

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

For a 43-parameter, zero-required-schema mutation tool with no output schema and no annotations covering parameters, the description is far too thin. It does not clarify which of the many optional fields are relevant to a rollback versus unrelated operations, leaving an agent without enough to call it correctly.

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

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

Schema description coverage is 0% across 43 parameters, and the docstring documents only 3 of them (app_sys_id, scope, version) with type hints. That leaves roughly 40 parameters — including booleans like rollback_installs, force_commit, and auto_upgrade_base_app — undocumented in both the schema and the description, so the description fails to compensate for the coverage gap.

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

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

The description states a specific verb and resource ('rollback an application in the repository'), which distinguishes it from install/publish siblings. The trailing phrase 'based on the provided parameters' is filler and adds nothing, and it never names the sibling rollback tools (rollback_plugin, batch_rollback) it could be confused with.

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

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

There is no indication of when to use this tool versus alternatives such as servicenow_rollback_plugin, servicenow_batch_rollback, or the install/publish siblings in the app_repo family. No prerequisites, ordering constraints, or environment conditions are stated.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=false, openWorldHint=true and destructiveHint=false, so the mutation profile is covered structurally. The description adds genuine context beyond that: the valid state values and the specific error behaviors (MissingParameterError, ParameterError on invalid state or serialization). It omits auth requirements and any note on irreversibility or side effects on related records, so it is useful 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 purpose is correctly front-loaded in the first line, but the rest is Sphinx docstring boilerplate with redundant :type: lines and a ':raises ParameterError' entry repeated three times with overlapping meaning. Little of that prose earns its place against the 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?

For a 22-parameter mutation tool with no output schema and 0% schema description coverage, the description explains only the two core arguments. Return behavior is gestured at ('parsed Pydantic model') but not clarified, and the bulk of the input surface is left undocumented, which is insufficient for confident invocation.

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

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

Schema description coverage is 0% across 22 parameters, so the description carries the full burden and documents only two of them (change_request_sys_id and state). The parenthetical '(approved or rejected)' is valuable since the schema defines no enum for state, but the remaining 20 parameters (data, sysparm_query, cmdb_ci_sys_ids, refresh_impacted_services, etc.) are unexplained in both places, leaving an agent unable to reason about most of the surface.

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

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

The opening line 'Approve or reject a change request' gives a specific verb pair and resource, and it is distinguishable from siblings like servicenow_update_change_request or servicenow_get_change_request_nextstate. It does not explicitly name those siblings or contrast itself with them, so it falls short of a 5.

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

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

There is no guidance on when to choose this tool over update_change_request, get_change_request_nextstate, or create_change_request. The description states only what the tool does, never the conditions, prerequisites, or alternatives for invoking 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=false, and openWorldHint=true, so the safety profile is partly covered. The description adds genuinely new behavioral facts: name and packages are effectively required despite the schema marking nothing required, and notes must be a string — details an agent cannot get from annotations or schema. It still omits whether the install is asynchronous, how progress is polled, and what side effects occur on the target instance.

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 lead sentence is short and front-loaded, which is good, but the rest is a pasted Sphinx docstring whose ':type X: str' lines merely restate what the JSON schema already encodes. It is neither bloated nor maximally efficient — redundant type tags dilute the few useful lines.

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 43-parameter mutation tool with no output schema, the description is far too thin. It does not describe the batch lifecycle (does it block, or is it polled via servicenow_batch_install_result?), what the returned Pydantic model contains, or how the many optional provisioning parameters interact — all information an agent needs before invoking it.

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

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

The schema has 43 parameters at 0% description coverage, but the description documents only name, notes, and packages. The remaining 40 parameters (sys_id, scope, repo_url, update_set_id, auto_preview, rollback_install, force_commit, etc.) are entirely opaque, so the description falls far short of compensating for the coverage gap.

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

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

The description states a specific verb and resource: 'Initiate a batch installation.' An agent knows this kicks off an install job. However, it does not distinguish this from close siblings such as servicenow_batch_install_result, servicenow_batch_rollback, or servicenow_app_repo_install, so the agent cannot tell which entry point applies without opening schemas.

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

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

There is no when-to-use guidance, no prerequisites (auth, permissions, instance context), and no mention of alternatives or follow-up tools. The only usage-adjacent content is the raises clause, which says name/packages must be supplied, but it never frames this as a usage rule or workflow step.

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 establish readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds one genuinely useful behavioral fact — it raises MissingParameterError when result_id is absent — but says nothing about response shape or polling/eventual-consistency behavior for an install result.

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

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

The core purpose sentence is front-loaded and clear, but the rest is auto-generated Sphinx boilerplate (:type:, :rtype:, :raises:) that partially restates the schema. It is not bloated maliciously, but several lines add little for an agent.

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 43-parameter tool with no output schema, the description should at minimum distinguish the meaningful parameters and describe what the result contains; instead it names one param and gives a vague return line. An agent cannot know how to populate or interpret the other fields.

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 43 parameters, and the description documents exactly one of them (result_id). The other 42 nullable fields are left entirely unexplained in both the schema and the description, which is a severe gap rather than compensation.

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

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

Names a specific verb (Get) and resource (result of a batch installation) qualified by a result ID, which separates it conceptually from servicenow_batch_install and servicenow_batch_rollback. It does not explicitly cite a sibling, so it falls short of the top score.

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

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

There is no statement of when to use this versus servicenow_batch_install (which presumably initiates the install and yields the result ID) or the polling/progress siblings. Usage is only implied by the mention of result_id.

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 declare readOnlyHint=false and idempotentHint=false, signaling a mutating, non-idempotent operation, but the description never says that batched POST/PUT/PATCH calls can modify or destroy data, nor how partial failures or per-request errors are surfaced. With a false readOnlyHint, the silence on side effects is a real gap.

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

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

The opening sentence is well front-loaded and efficient, but the Sphinx-style :param/:type/:return block mostly duplicates the schema and the return type note ('Response') adds nothing since no output schema exists to compare against. Roughly half the text is boilerplate.

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 that fans out arbitrary HTTP calls (including writes) in one shot, the definition omits batch size limits, execution order, failure semantics, and any note that individual request bodies must be base64 encoded. No output schema exists, so the terse ':return: Response' leaves return structure entirely unexplained.

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

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

Top-level schema description coverage is 0%, so the description carries the burden, yet it only restates types ('str', 'list') for batch_request_id and rest_requests. It adds no meaning about the required per-request fields (id, method, url) or the base64-encoded body convention that the nested schema documents.

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 ('Sends multiple REST API requests in a single call'), and the word 'multiple' implicitly contrasts with the single-request sibling servicenow_api_request. It stops short of naming that sibling explicitly, so an agent must infer the routing distinction.

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

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

There is no guidance on when to batch versus calling servicenow_api_request repeatedly, no mention of batch size limits, ordering guarantees, or whether requests execute transactionally. The reader must guess at the intended usage envelope.

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 says the tool 'rolls back a batch installation', an explicitly state-changing operation, yet annotations declare readOnlyHint=true and destructiveHint=false. This directly contradicts the annotations, and the description supplies no other behavioral context (what is undone, whether it is reversible, permissions).

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

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

The purpose is front-loaded and clear, but the sphinx-style :type:/:rtype: boilerplate and a trivial :raises: note for a single optional parameter add redundant structure without new information. Not bloated, but not tight 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 destructive-sounding batch operation with 43 undocumented parameters, zero schema coverage, no output schema, and annotations that misclassify it as read-only, the description is far too thin. An agent cannot confidently invoke it or predict the effects.

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 43 parameters, so the description must carry the burden and does not. It only documents rollback_id (as a string 'associated with the batch rollback'), leaving the other 42 optional parameters — scope, packages, sys_id, force_commit, rollback_installs, etc. — entirely unexplained.

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

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

The description states a specific verb and resource ('Rollback a batch installation') plus the required identifier, so an agent knows exactly what the tool does. It does not, however, distinguish itself from the several sibling rollback tools (servicenow_app_repo_rollback, servicenow_rollback_plugin, servicenow_update_set_back_out), so 4 rather than 5.

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

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

There is no guidance on when to use this tool versus batch_install or the other rollback/back-out siblings, and no prerequisites or recovery context. Only the bare action is described.

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 disclose readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true, so the mutation semantics are partly covered externally; the description's 'calculate and update' is consistent with those. It adds error behavior (MissingParameterError, ParameterError on bad params or JSON) that annotations do not cover, but never explains what the update actually changes on the record or whether it is reversible.

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 a single clear sentence, but the body is a Sphinx docstring dump whose :param:/:type:/:rtype: markup conveys very little information for its length. It is not bloated, yet the formatting is low-density relative to the payload.

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 22-parameter mutation tool with no output schema and 0% schema descriptions, the definition is far too thin: it explains one parameter, gives a generic 'parsed Pydantic model' return note, and says nothing about how the risk is computed, what fields are updated, or what permissions are required.

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 22 parameters, so the description carries the full burden and documents only change_request_sys_id, and even that conflicts with the schema's optional/nullable definition. The remaining 21 parameters (data, state, change_type, cmdb_ci_sys_ids, etc.) are entirely unexplained 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?

States a specific verb pair (calculate and update) and a specific resource (standard change request risk), so the agent knows both the computation and the mutation involved. It does not, however, differentiate itself from neighbors like servicenow_update_change_request, servicenow_refresh_change_request_impacted_services, or servicenow_get_standard_change_request_model.

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 this tool should be chosen over the many change-request siblings, nor any prerequisites or context. The only usage hint is an indirect one via ':raises MissingParameterError', which implies change_request_sys_id is needed, but the schema marks it optional with a null default, so even that signal is unreliable.

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 are supplied (readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false), so the safety profile is partly covered. The description adds error behavior (:raises MissingParameterError / ParameterError) and the return type, which is useful, but it never explains the side effects implied by readOnlyHint=false and idempotentHint=false (e.g., whether a conflict scan record is created or state is mutated).

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 the docstring is reasonably compact, but it carries boilerplate noise (:rtype Response, ParameterError listed twice) and does not spend its limited space on the information an agent actually needs.

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

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

For a 22-parameter tool with no output schema and zero schema descriptions, the definition is far too thin; it leaves the agent without the parameter meanings, filtering semantics, or response shape needed to invoke it correctly.

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

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

Schema description coverage is 0% and there are 22 parameters, of which only change_request_sys_id is documented ('Sys ID of the change request'). The remaining parameters (data, state, change_type, cmdb_ci_sys_ids, sysparm_query, etc.) are entirely unexplained in both schema and description.

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

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

The description states a specific verb+resource: 'Check for conflicts in a change request.' That is enough for an agent to know the operation, but it does not distinguish this tool from close siblings such as servicenow_get_change_request_conflict or servicenow_delete_change_request_conflict_scan, so sibling differentiation is missing.

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. Given the crowded sibling set (get_change_request_conflict, delete_change_request_conflict_scan, create_change_request), the absence of any routing or prerequisite information is a real gap.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that, however: it never explains what 'compatible' means, what a violation looks like, or whether any state is consulted or mutated remotely.

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 clean sentence with no filler, and the purpose is front-loaded. It is well formed but under-specified rather than deliberately concise.

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 is a bare passthrough with no descriptions, so the description carries the burden of explaining inputs and result semantics. It does neither, leaving an agent unable to construct a correct call for this compatibility check.

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

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

Schema description coverage is 0% and both parameters are opaque generic containers (params / params_json). The description says 'two specified CI actions' but gives no hint about how to supply them, so it fails to compensate for the 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 concrete verb and resource: it determines whether two specified CI actions are compatible. That is clearly distinct from siblings like get_ci_lifecycle_active_actions or extend_ci_lifecycle_lease, though it does not differentiate itself from the closely related check_ci_lifecycle_not_allowed_action and check_ci_lifecycle_not_allowed_ops_transition.

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 run this check versus the other check_ci_lifecycle_* siblings, no prerequisites, and no mention of what scenario triggers a compatibility evaluation. The agent is left to infer usage from the name alone.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds only the mild hint that the check is scoped to the requester's identity, which implies auth context but is not elaborated.

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

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

A single front-loaded sentence with no filler or repetition. It is efficient, though its brevity stems partly from under-specification rather than disciplined editing.

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 check/predicate tool with no output schema, the description should at minimum indicate the nature of the result (e.g., a boolean or status). It also leaves the two undocumented parameters unexplained, so an agent cannot tell what a valid invocation looks like.

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

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

Two parameters (params, params_json) with 0% schema description coverage, and the description says nothing about them. With named, self-documenting parameters this would be less critical, but 'params'/'params_json' are opaque catch-alls, so the description should compensate and does not.

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

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

States a specific verb and resource: it determines whether a CI lifecycle lease has expired. This is enough to distinguish it from write-oriented siblings like extend_ci_lifecycle_lease. However, it never names or contrasts with those siblings, and 'for the requester' is ambiguous about whose lease is being checked.

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 only asserts what the tool does; it gives no when-to-use context, no prerequisites, and no alternatives. A natural sibling, servicenow_extend_ci_lifecycle_lease, is not mentioned even though the two are clearly related (check-then-extend).

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, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond them: it does not explain what 'not allowed' evaluates against, what inputs it needs, or whether it queries live state. For an open-world check with opaque inputs, this is a meaningful gap.

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

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

A single compact sentence with no padding, so it is structurally clean and front-loaded. The conciseness comes at the cost of substance, though — the one sentence is essentially a restatement that does not earn much beyond the title.

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

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

With no output schema, no documented parameters, and annotations supplying only safety hints, the description should explain how to specify the CI action and what the boolean result means. As written it leaves both unaddressed, which is inadequate for a check tool whose inputs are entirely undocumented.

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

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

Schema description coverage is 0% and both parameters are opaque (a freeform object with additionalProperties:true and a params_json string). The phrase 'specified CI action' hints that an action must be identified but gives no key name, format, or example, leaving the description unable to compensate for the coverage gap.

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

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

The description states a check verb and the resource ('whether a specified CI action is not allowed'), which clarifies it returns a boolean determination rather than performing an action. However, it largely restates the tool name/title and offers no differentiation from close siblings such as servicenow_check_ci_lifecycle_not_allowed_ops_transition or servicenow_check_ci_lifecycle_compat_actions.

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

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

There is no guidance on when to use this tool versus the several adjacent ci_lifecycle check tools, nor any prerequisites or exclusions. The agent must infer usage entirely from the name.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered structurally. The description adds nothing beyond the bare purpose – no statement of what inputs are needed, what the result means, or how the underlying openWorld lookup behaves.

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 a single front-loaded sentence with no filler, which is structurally clean, but the sparseness is under-specification rather than effective conciseness given the tool's opaque 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 check tool with no output schema and two undocumented pass-through parameters, the definition should explain required inputs and the meaning of an allow/disallow result. Neither is present, so an agent lacks enough to invoke or interpret it correctly.

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

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

Schema description coverage is 0% for two opaque parameters ('params' and 'params_json'), and the description provides no information about what either should contain. With low coverage the description is expected to compensate, and it does not, leaving the agent unable to construct a valid call.

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

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

The description gives a verb and resource ('Determines whether an operational state transition is allowed'), so the purpose is discernible but generic. It does not differentiate this tool from close siblings like servicenow_check_ci_lifecycle_not_allowed_action or servicenow_check_ci_lifecycle_compat_actions, and it omits the 'not allowed ops' qualifier present in the name/title.

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

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

There is no when-to-use guidance, no prerequisites (e.g., a CI id or lifecycle context required), and no mention of the sibling check tools that answer related lifecycle questions. The agent must guess when this check applies versus the other check_ci_lifecycle_* tools.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no further behavioral context—no indication of what makes a requester 'valid', what permissions are needed, or what the check evaluates. It simply restates the purpose.

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

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

The single sentence is front-loaded and free of filler, so it is structurally clean. However, it is too thin for a tool with no parameter documentation and no output schema, making the brevity more a symptom of under-specification than of efficient communication.

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 0% schema description coverage, two undocumented parameters, no output schema, and a validation purpose that requires explaining what 'valid requester' means, the description is completely inadequate. It provides no actionable information for invoking 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?

Schema description coverage is 0% for two parameters (params and params_json), and the description only says 'specified user' without naming or explaining how to supply that user. The description does nothing to compensate for the 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?

The description states a specific verb ('Determines whether') and a resource ('specified user is a valid requester'), but it never mentions CI lifecycle or the domain context that would distinguish it from sibling check_* tools. Without the tool name, an agent could not tell what kind of requester or lifecycle this applies to.

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 call this tool versus alternatives such as servicenow_get_ci_lifecycle_status or the other servicenow_check_ci_lifecycle_* tools. No prerequisites, no conditions, no exclusions are given.

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