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

With no annotations, the description carries the full burden, and it does disclose the two most consequential behaviors: generating a passwordless upload link and optionally emailing the client. It does not say whether the link is returned in the response, how long it stays valid, or what happens if the client already exists — gaps that matter for a mutation with an external side effect.

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?

Two short sentences, front-loaded with the core action and followed by the side effects. Nothing redundant and nothing buried.

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 creation tool with a fully documented schema and no output schema, the description covers purpose and the key outbound side effect. It could still note what the call returns (presumably the magic link/request id) since no output schema exists to convey that.

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 100%, so the schema already documents all 7 parameters in detail, setting the baseline at 3. The description adds a small amount beyond it by calling out the 'optionally emails' behavior, which clarifies the sendInvitationEmail default, and by framing the request as a dossier/checklist.

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 client document intake request / dossier) and immediately adds the notable side effects: a zero-password magic upload link and optional client email. This separates it cleanly from siblings like create_template or create_or_update_client.

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

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

Usage is only implied by the verb and resource — an agent can infer this is the tool for opening a new intake request. There is no explicit when-to-use guidance relative to siblings (e.g. request-from-template vs ad-hoc), and no stated prerequisites such as the client existing beforehand.

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

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

No annotations are provided, so the description bears the full burden for a mutation tool. It discloses nothing about permissions, whether omitted fields are preserved or cleared on update, duplicate handling, or what the call returns on create vs update.

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

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

A single front-loaded sentence with no filler; the create case is stated before the update case. Minor looseness in 'contact details', which is vaguer than the schema's name/email.

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 five-parameter mutation tool with no annotations and no output schema, the description omits the identity/matching logic, partial-vs-full update semantics, and failure behavior — the exact things an agent needs to call it safely.

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 100%, so every parameter is already documented, and the description's field list (phone, company, notes) matches the schema rather than extending it. It adds nothing about which fields act as the match key for the update path, leaving the most consequential parameter semantics 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 concrete verb pair (add/update) on a concrete resource (client) and enumerates the mutable fields (contact details, phone, company, notes). It is clearly the write-side counterpart to list_clients/get_client, though it never says how an existing client is identified, which blurs the create-vs-update 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?

No guidance on when to use this versus list_clients/get_client or the template/intake siblings, and no explanation of the upsert decision rule. An agent calling this with an existing name/email has no way to predict whether it updates, duplicates, or errors.

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

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

No annotations are provided, so the description carries the full burden for a mutation tool. It does not say whether the new template is workspace-scoped, whether creation fails on duplicate names, what permissions are required, or what identifier comes back — gaps an agent calling a create operation needs filled.

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 appropriately sized, though its brevity is part of why behavioral and usage gaps exist rather than a sign of completeness.

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?

No output schema and no annotations, so the description should say more about the result (e.g., a new template ID) and about sharing/visibility behavior implied by isShared. Parameter documentation is fully covered by the schema, leaving the description adequate but not complete for a creation 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 100%, so all four parameters (including nested item fields, defaults, and the isShared flag) are already documented. The description's mention of 'items and categories' adds nothing beyond the schema, so the baseline 3 applies.

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

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

States a specific verb and resource: 'Create a new reusable document checklist template,' and adds the shape of the payload ('with predefined items and categories'). The 'template' noun does distinguish it from create_intake_request, but the description never explicitly contrasts with update_template or the sibling template 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?

There is no statement of when to use this versus update_template (for existing templates) or create_intake_request (for one-off requests). The word 'reusable' hints at the intent, but no condition or alternative is named.

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

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

With no annotations, the description carries the full burden; it does disclose the response contents (active plus historical document requests), which is useful read-only context. It says nothing about authorization requirements, behavior when the clientId is unknown, or whether the document-request list is paginated or truncated.

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

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

One clean, front-loaded sentence with no filler, and the most useful detail (what comes back) is appended rather than buried. It is minimal but not structurally rich.

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

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

For a simple one-parameter read tool with no output schema, the description covers the essential return content, which is what the agent most needs. Error/not-found behavior and any caller permissions remain unstated, a minor gap at this complexity level.

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 100% and the single clientId parameter is documented as a UUID in the schema, so the baseline is 3. The description adds no format, sourcing, or lookup guidance beyond what the schema already states.

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

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

Names a specific verb (Retrieve) and resource (detailed profile information for a specific client), and clarifies the payload includes active and historical document requests. It's clearly distinct from create/update siblings, though it never names list_clients as the alternative for enumerating clients.

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

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

Usage is only implied by the required clientId parameter – an agent can infer 'use when you have one client's ID and need their full profile.' There's no explicit when-to-use/when-not guidance and no reference to siblings like list_clients or get_intake_request.

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

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

With no annotations, the description carries the full behavioral burden; it does disclose that the URL is secure and temporary, which is real information. However it omits the authorization requirements, whether the link is single-use, what happens when the file is missing or still processing, and any rate limiting — meaningful gaps for a tool that grants access to document contents.

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

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

One sentence, front-loaded with the action and followed by the consumer benefit; there is no filler and nothing repeated from 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 two-parameter read-style tool with a fully described schema and no output schema, the description covers what the tool produces (a URL) and its temporary nature. What is missing is secondary: permission requirements, expiry edge cases, and behavior on invalid fileId.

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%, with both fileId ('UUID of the uploaded file record') and expiresInSeconds ('default: 300 = 5 minutes for privacy') documented. The description adds no parameter-level detail beyond that, so the baseline of 3 applies.

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

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

The description names a concrete verb+resource pair ('Generate a ... presigned download URL for an uploaded file') and adds the agent-facing rationale ('so an AI or operator can inspect the document contents'). That makes it trivially distinguishable from the CRUD siblings like get_intake_request or get_template, none of which produce URLs.

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 clause 'so an AI or operator can inspect the document contents' implies the intended use case, but there is no explicit when-to-use/when-not framing, no prerequisite (e.g. file must already be uploaded and have a known UUID), and no mention of what to do if the link expires or the file is inaccessible. Usage is inferable rather than 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?

No annotations are provided, so the description carries the full behavioral burden. 'Retrieve' implies a read, but nothing states access or permission requirements, whether a missing/unauthorized requestId errors or returns empty, or how large the checklist/upload payload might be. It only lists what fields come back, which is the minimum.

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

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

One sentence, zero waste, with the resource and lookup key front-loaded and the returned contents appended. Nothing is padded or repeated from 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 single-parameter lookup with no output schema, the description does well by enumerating the salient returned sections so the agent knows the record is detailed rather than a stub. The remaining gap is error/not-found behavior, which is minor but real given the absence of annotations.

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 100% and the single requestId parameter is documented as a UUID in the schema itself. The description adds no format or provenance detail beyond 'by ID', so baseline 3 applies.

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

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

The description states a specific verb and resource ('Retrieve full details for an intake request by ID') and enumerates the payload (checklist items, upload progress, file metadata), which distinguishes it from list_intake_requests. It stops short of explicitly naming that sibling, but the 'by ID' framing makes the single-record scope unambiguous.

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

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

Usage is only implied: an agent can infer this is the call to make once it has a requestId from list_intake_requests. There is no explicit 'use this when…' guidance and no mention of what to do when the ID is unknown or invalid.

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

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

With no annotations, the description carries the full behavioral disclosure burden. It usefully says the response includes full details and checklist items, but it does not clarify read-only behavior, permissions, not-found behavior, or other operational traits.

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 efficient sentence with no wasted words. The core purpose and return scope are front-loaded.

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

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

For a simple one-parameter retrieval tool, the description is adequate: it names the resource and the main return content. However, without an output schema, it leaves the exact returned details and error behavior vague.

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 single templateId parameter has 100% schema description coverage, including UUID or starter identifier semantics. The description adds no parameter-level meaning beyond the schema, so the baseline score of 3 applies.

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

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

The description states a specific verb and resource: get a specific reusable template, including full details and checklist items. It implicitly distinguishes itself from list_templates by requiring a specific template, though it does not explicitly name sibling 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 no explicit guidance on when to use this tool versus list_templates or update_template. Usage is only implied by the singular template reference and required templateId.

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

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

No annotations are provided, so the description carries the full behavioral burden. 'List and search' implies a read-only operation, but the description does not explicitly confirm read-only behavior, authentication needs, rate limits, pagination, or result structure.

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

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

The description is two short sentences and is front-loaded with the primary action and resource. Every sentence contributes directly to understanding what the tool does.

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

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

For a simple list/search tool with full schema parameter coverage, the description covers the core action and filter dimensions. However, with no annotations and no output schema, it stops short of explaining return shape, pagination behavior, or default result handling.

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

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

Schema description coverage is 100%, so both parameters are already documented in the input schema. The description repeats the searchable fields ('name, email, or company') but does not add syntax, matching rules, or limit semantics beyond what the schema provides.

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

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

The description states a specific verb and resource: 'List and search clients in the Drop Spot directory.' It is clear what the tool does, but it does not explicitly distinguish itself from the sibling get_client tool, which is the main criterion for a 5.

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

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

The phrase 'Filter by name, email, or company' implies the tool is used for directory search, but there is no explicit guidance on when to choose list_clients over get_client or create_or_update_client. Usage is implied rather than directed.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It does not state that this is a read-only operation, how results are ordered, that it is paginated, or what permissions are required, leaving significant behavioral gaps for an agent.

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

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

The description is two short sentences with no waste, and the primary action and scoping are front-loaded. Every sentence contributes useful information about the resource and supported filters.

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

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

For a simple three-parameter list tool with full schema coverage, the description is mostly adequate. However, because there is no output schema, it could do more to indicate what the returned intake requests contain or how pagination behaves, leaving some context incomplete.

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%, and the schema already documents limit, status, and clientEmail with defaults, ranges, and enum values. The description repeats the status and clientEmail filtering but does not add format or behavioral detail beyond the schema, so a baseline 3 is appropriate.

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 ('List') and resource ('client intake requests') scoped to the Drop Spot workspace. It is clearly distinguishable from get_intake_request and create_intake_request, though it does not explicitly mention those siblings.

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

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

The description implies usage by stating that results can be filtered by status or client email, which gives the agent a reason to call it. However, it does not explicitly say when to prefer this tool over alternatives or any conditions under which it should not be used.

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

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

No annotations are present, so the description carries the full behavioral burden. It does not state that this is read-only, whether permissions are required, how results are ordered, or whether pagination applies.

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 efficient sentence with the main purpose front-loaded. The parenthetical examples are useful rather than wasteful, though the sentence could also state the read-only nature compactly.

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 no annotations, so the description should clarify return shape, ordering, and pagination behavior. It says what is listed but not enough for an agent to know what to expect from the result.

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

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

Schema description coverage is 100%, so the single includeStarters parameter is already documented. The description's mention of starter packages adds mild semantic context but no format or default details beyond the schema.

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

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

States a specific verb and resource: "List available checklist templates," and the parenthetical names starter-package examples. It is distinguishable from get_template/create_template, though it does not explicitly contrast with get_template.

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 tool versus get_template or when to omit starter templates. The listing purpose is implied, but there are no explicit conditions or alternatives.

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

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

With no annotations, the description carries the full burden; it does disclose the key outbound side effect that a rejection sends automated feedback to the client, which is valuable context not in the schema. It omits irreversibility, required permissions, and whether the client-facing message is immediate or queued, all of which matter for a mutation with an external side effect.

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?

Two short sentences, action stated first and the consequential side effect second. Every sentence earns its place with no filler.

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

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

For a 3-parameter mutation with an outward-facing side effect, no annotations, and no output schema, the description covers the headline behavior but leaves gaps: no return value or result indication, no state preconditions, and no guidance on what the automated feedback contains or whether a rejectionNote is required when rejecting.

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 100%, so itemId, decision, and rejectionNote are already fully documented, and the enum on decision is explicit. The description adds no parameter-level meaning beyond what the schema states, which is acceptable at this coverage level.

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 (approve/reject) and resource (a document uploaded by a client), which is clear at a glance. It doesn't note that the item is a checklist item (only the schema does) and no sibling tool overlaps, so no explicit differentiation is needed, but the description stays at a somewhat generic level.

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

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

Usage is implied: call it to act on a client-uploaded document, and the note that rejection triggers automated feedback hints at when to prefer which decision. It never says the item must be in a pending-review state, whether approval is reversible, or when to use rejectionNote versus a plain rejection.

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

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

No annotations, so the description carries the full burden: it doesn't say whether omitted fields are left unchanged, whether 'items' replaces the entire item list or merges, or what permissions are needed. For a mutation tool with zero annotation coverage these are material gaps.

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

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

One front-loaded sentence with the verb and resource first and the field list as a compact parenthetical. No waste, though it could have used the space for behavioral detail instead of repeating field names.

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 no annotations and no output schema needs to explain replace-vs-merge behavior for 'items', partial-update semantics, and side effects or return. None of that is present, so an agent cannot call it with confidence on the riskiest parameter.

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

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

Schema coverage is 100%, so all four parameters are already documented, and the parenthetical merely restates the same three updatable fields. Baseline 3 applies since the description adds no semantics beyond the schema.

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

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

States a specific verb (edit) and resource (existing custom checklist template), plus the fields that can change, which separates it from create_template and get_template. Sibling differentiation is implicit rather than stated.

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?

'Edit an existing ... template' implies a template must already exist (templateId required), so usage is inferable. It never explicitly says when to use this versus create_template, or what preconditions (ownership, template type) apply.

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