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

Annotations already declare readOnlyHint=false and destructiveHint=false; the description goes beyond them by flagging it as a mutating operation and requiring confirm=True, which is real behavioral guidance. It doesn't address idempotency, permission requirements, or what happens on duplicate entries, so it isn't exhaustive.

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 mutating/confirm warning is front-loaded and the entry format follows compactly; every sentence earns its place. Minor redundancy in 'Create/add' keeps it from a 5.

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?

An output schema exists so return values need no explanation, and the description covers the mutation semantics and nested entry fields well. It omits prerequisites like required permissions and entry-count limits, but is complete enough to invoke correctly.

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

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

Schema description coverage is 0% and the schema itself only says entries is an array of open-ended objects, so the description carries the full burden. It fully documents the entry shape — 'ip' (IPv4/IPv6 or CIDR), 'scope' with the enumerated values ('public-api', 'ui', 'both'), and an optional 'description' — and explains 'confirm' via the confirm=True requirement.

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/add IP allowlist entries for the organization'), which is unambiguous and easily distinguished from sibling tools admin_list_allowed_ips and admin_remove_allowed_ips. The '(v3alpha)' tag also pins the API surface.

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?

Gives a concrete usage prerequisite ('Requires confirm=True') that tells an agent how to successfully invoke it. It does not explicitly name the list/remove siblings or state when-not to use this tool, so it stops short of a 5, but the operating context is clear.

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

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

Annotations declare readOnlyHint=false, destructiveHint=false and openWorldHint=true, so the safety profile is partly covered. However, the description adds nothing about whether documents are appended or replaced, permission requirements, or side effects of a mutation on a live deployment policy.

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 tight sentence with the action front-loaded and no wasted words. Its brevity is appropriate in form, though it comes at the cost of missing detail.

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?

An output schema exists so return values needn't be described, but for a write operation with zero parameter documentation and no usage context, the definition is too thin to call confidently.

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

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

Schema coverage is 0% and the description does not explain either parameter. It implies inode_ids map to workbooks/reports, but the term 'inode' and the expected format of policy_id remain unexplained, 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?

States a specific verb ('Add') and resource ('workbooks/reports to a deployment policy'), making the action clear. It is distinguishable from the read-only sibling admin_list_deployment_documents, though it doesn't explicitly name 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?

No when-to-use context, prerequisites, or alternatives are provided. The agent gets no guidance on when adding documents to a deployment is appropriate versus other deployment operations.

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, destructiveHint=false and openWorldHint=true, so the safety and scope profile is covered by structured data. The description adds that the scope is programmatic API capability rather than data retrieval, but discloses nothing extra about what the call returns or any limits. With the lower bar set by annotations, a 3 is appropriate.

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, and the key distinction (can and cannot do) is stated up front. Nothing unnecessary is present.

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 zero-argument information tool with an output schema (so return values need no explanation in prose), the description is sufficient to call it correctly. It could be slightly more complete by noting when this orientation call is preferable to the sibling doc-search tools, but no critical gap exists.

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

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

The tool takes zero parameters, and the schema coverage is 100%, so there is no parameter semantics to explain. Per the zero-parameter baseline, a 4 is correct.

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 clear verb ('Describe') and resource ('what the Sigma REST API can and cannot do programmatically'), which cleanly distinguishes this meta/discovery tool from the dozens of resource-specific CRUD siblings. It stops short of naming itself as an orientation/capability-discovery tool relative to doc-search siblings like elements_search_docs, so it is clear but not fully differentiated.

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 'call this when you need to know what is possible via the API,' but the description states no explicit when-to-use condition and does not mention alternatives such as elements_search_docs or elements_get_doc_page. Adequate but leaves the selection decision to inference.

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 destructiveHint=true and readOnlyHint=false, so the safety profile is covered structurally. The description adds value beyond that by clarifying the operation is an *archive* rather than a hard delete and by disclosing the confirm=True gate, which is genuine behavioral context. It still omits reversibility and what happens to any documents attached to the policy.

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 with no filler, and the destructive action is front-loaded before the prerequisite. Every clause carries information an agent 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?

An output schema exists, so return values need not be described, and annotations cover destructiveness. What remains is covered adequately by the confirm prerequisite and the archive framing, with only the meaning of policy_id and the reversibility of archival left implicit.

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 both parameters, so the description carries the burden. It explains the confirm flag's required value, which the schema only reveals as a boolean defaulting to false, but policy_id is entirely uninterpreted — the description's phrase 'deployment policy' only indirectly hints at what the ID identifies.

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 plus resource — 'Delete (archive) a deployment policy' — so the agent knows exactly what object is affected and can distinguish it from sibling admin_deactivate_member or admin_create_deployment. It stops short of naming an alternative operation for the same resource, so it is clear but not sibling-routing.

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?

Gives one concrete precondition — 'Requires confirm=True' — which is real invocation guidance. It offers no when-to-use/when-not context, no statement of how this differs from other deployment operations, and no note on permanence or preconditions such as ownership.

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 and openWorldHint=true, so the safety profile is covered structurally. The description adds only 'in one call', which restates the bulk name; it says nothing about idempotency, what happens to members already on the team, partial-failure behavior for invalid IDs, or rate limits.

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

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

A single short sentence, front-loaded with the action, with zero filler. It is efficient, though the brevity is closer to under-specification than hard-won conciseness.

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

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

This is a bulk mutation tool with two undocumented parameters and meaningful sibling overlap. Even though an output schema exists (so return values need not be explained), the definition omits permissions, validation limits, and duplicate handling that an agent needs before calling 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?

Schema description coverage is 0%, so the description carries the full burden for both parameters and provides none of it. It does not explain the expected member ID format, any maximum on the member_ids array, or what happens if team_id is unknown.

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 ('Add multiple members to a team') and the bulk nature is clear from 'multiple ... in one call'. It does not, however, distinguish itself from closely related siblings such as admin_bulk_remove_team_members or admin_update_team_members, which an agent could easily confuse for an add-members operation.

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

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

There is no when-to-use guidance and no exclusions. The description never says how this differs from admin_update_team_members or admin_onboard_member, nor does it state prerequisites such as required admin permissions or whether the target team must already exist.

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 strongly reinforces the destructive nature with the explicit 'DESTRUCTIVE' label and the two-flag safety gate, which is valuable beyond the destructiveHint=true annotation because it tells the agent exactly how to preview. It also explains the includeInactive behavior, which no annotation conveys. It stops short of 5 because it does not mention scope (tenant/org-wide), permissions required, or reversibility of deactivation.

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?

Four tightly packed lines, each earning its place: what it does, the destructive gate, the default preview behavior, and the includeInactive hint. The danger warning is front-loaded, which is the right priority for a destructive tool.

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

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

Given a destructive mutation with a 3-param schema, an output schema present, and rich annotations, the description covers the execution gate and preview semantics that an agent needs to call it safely. Remaining gaps (scope of matching, permission requirements, what happens to inactive matches beyond the includeInactive hint) are minor but non-zero.

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

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

Schema coverage is 0% and the schema only gives parameter names, so the description must compensate and largely does: it explains dry_run's default-on preview behavior, confirm's gate role, and the regex semantics of name_pattern. It could be stronger by clarifying that name_pattern is required and how matching is anchored, but the meaning of all three parameters is conveyed.

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 ('Deactivate members') plus the matching mechanism ('regex on firstName+lastName'). It is clear but the title already conveys 'Admin Bulk Deactivate Members', so the marginal gain is mostly the regex detail. A sibling admin_deactivate_member exists for single-member deactivation, and the description does not explicitly differentiate from it, keeping this 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?

The description gives clear operational guidance: bulk by name pattern, requires dry_run=False and confirm=True to actually execute, and mentions using includeInactive=true to avoid redundant work. It does not, however, distinguish when to use this vs. admin_deactivate_member (single) or other bulk tools, so it stops short of full alternative routing.

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 destructiveHint=true and readOnlyHint=false, so the safety profile is covered. The description adds useful context beyond that: the internal mechanism ('Resolves emails to member IDs, then sends a single PATCH') and the confirmation requirement. It stops short of describing reversibility or failure modes for unmatched emails.

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 concise sentences: the first front-loads the purpose, the second adds mechanism and a prerequisite. Every clause earns its place with no 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?

An output schema exists, so return values need not be detailed. The description covers purpose, mechanism, and the confirm gate, but omits edge-case behavior (e.g., what happens if confirm is omitted, or if an email is unknown) which would be helpful for a destructive bulk operation.

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

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

Schema description coverage is 0%, so the description must compensate. It explains 'member_emails' (email addresses) and the confirm requirement, but says nothing about 'team_id' beyond the implicit name. Partial compensation justifies a mid-range score.

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 ('Remove') and resource ('multiple members from a team') with scope ('by their email addresses'). It clearly distinguishes the operation from assignment or listing siblings, though it does not name an alternative tool explicitly.

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 by the purpose (bulk removal by email), and a prerequisite is given ('Requires confirm=True'). However, there is no explicit guidance on when to use this tool versus alternatives like admin_update_team_members or admin_bulk_assign_team_members.

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, and openWorldHint=true, so safety posture is covered by structured data. The description adds essentially nothing beyond them – no mention of required admin permissions, whether the change triggers a verification email, whether it's reversible, or any side effects, so it fails to extend the behavioral picture 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?

One terse sentence with no filler, and the verb+resource is front-loaded. But it is under-specified rather than genuinely concise; the brevity comes from omitting useful detail rather than from cutting waste.

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?

An output schema exists, so return values needn't be explained. Still, for an admin mutation the description omits who may call it, what happens to the old address, and any verification or notification flow – too thin for a tool in a crowded admin surface.

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

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

Schema description coverage is 0% for two required parameters, so the description carries the full burden – yet it says nothing about member_id format or new_email constraints (uniqueness, domain restrictions, verification). Only the '{id}' path placeholder hints that member_id identifies the target.

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 ('Change a member's email address') and even names the underlying endpoint, so the operation is unambiguous. It does not, however, distinguish itself from the sibling admin_update_member, which plausibly also modifies member email, leaving the agent to guess which to call.

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 routing guidance. With siblings like admin_update_member, admin_onboard_member, and admin_deactivate_member in the same namespace, the agent gets no help choosing between 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 declare readOnlyHint=false, destructiveHint=false, openWorldHint=true, but they cannot express an interactive gate; the description's 'Mutating operation. Requires confirm=True.' adds real behavioral value that the structured fields do not. It still omits the blast radius (what happens to existing provider/model config) and any idempotency or auth details.

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?

Short and front-loaded: purpose first, then the mutation gate, then the parameter hint. The fragmented line-item formatting is slightly telegraphic but wastes no sentences.

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?

An output schema exists, so return values need no explanation, and the confirm gate plus provider examples cover the essentials. The remaining gap is that a free-form provider_config object with zero schema coverage is only illustrated, not specified, which leaves the agent guessing at the exact payload shape.

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 provider_config is a free-form object with additionalProperties=true, so the description must carry the load. It partially does by naming accepted providers (openAI/anthropic/gemini/snowflake/databricks/bedrock/azureOpenAI), but the model specification keys and the confirm parameter's default/effect are left to inference.

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: configure the organization AI provider and models. That is clearly distinct from most siblings, but it does not explicitly differentiate itself from the adjacent admin_update_org_setting / admin_get_org_setting family, so an agent could hesitate between them.

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

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

It gives one strong precondition ('Requires confirm=True') and labels itself a mutating operation, which is implied usage guidance. It never states when to choose this over admin_update_org_setting or what scope of change is appropriate, so no exclusion or alternative routing is provided.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=true, so the safety profile is partially covered. The description adds nothing beyond that: it does not say what the opaque 'body' must contain, whether creation requires existing documents or tenants, or whether it is idempotent — real gaps 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?

It is a single front-loaded sentence with no filler, which is structurally clean. But the brevity here reflects under-specification rather than genuine conciseness, so it earns only a minimal score.

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?

An output schema exists, so return values need not be described. Everything else is missing: the shape of the required 'body' object, any prerequisites, and the effect of the created policy, all of which are essential for a tool with a nested opaque payload.

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 neither parameter is documented in the schema; 'body' is an untyped object with additionalProperties:true. The description says nothing about what 'name' or 'body' should hold, so it fails to compensate for the complete lack of parameter documentation.

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

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

The description gives a clear verb+resource ('Create a deployment policy'), so the agent knows the general action. However, it does not distinguish this from sibling deployment tools (admin_archive_deployment, admin_add_deployment_documents) or clarify what a 'deployment policy' contains, leaving the object of the operation opaque.

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, no prerequisites, and no mention of the supporting siblings (admin_list_deployments, admin_get_deployment) that would naturally precede creation. The agent must infer everything 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=false, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and repeat-call profile is covered. 'Create or update' is consistent with idempotentHint and clarifies the upsert semantics, but the description adds nothing about required admin privileges, the effect of updating an existing grant, or what happens with missing/invalid fields.

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

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

Two short sentences with no filler, and the verb/resource statement is front-loaded ahead of the body-field list. Nothing is padded, though the extreme terseness is part of why other dimensions are thin.

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?

An output schema exists, so return values need not be described, and annotations cover the safety profile. The main remaining gap is the fully opaque 'body' schema: the description names four fields but leaves field formats, allowed permission/type values, and error behavior unspecified for an admin-level mutation.

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 effectively 0% — 'body' is an opaque free-form object with no declared properties, so the schema contributes nothing. The description partially compensates by naming the four required body fields (inodeId, granteeId, permission, type), which is genuinely useful, but it gives no value formats, allowed values for permission/type, or meanings for inodeId/granteeId.

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 or update a grant'), so the agent knows this is an upsert on a grant entity. It does not, however, distinguish this generic admin grant from siblings like workbooks_grant_workbook_access, workspace_grant_workspace_access, or datasets_add_connection_grant, which is what a 5 would require.

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

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

No guidance on when to use this versus the many other grant tools, nor any prerequisites (e.g. admin scope, which inode namespaces are valid). The only implicit hint is that 'create or update' means it is an upsert, but that is inferred rather than stated as usage guidance.

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

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

Annotations already declare readOnlyHint=false, openWorldHint=true, destructiveHint=false, covering the safety profile. The description adds no behavioral context beyond that – nothing about required admin privileges, whether an invitation/email is triggered, or side effects of the 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?

Two short, front-loaded sentences with no filler; the core action comes first and the enum hint second. Efficient, though the second sentence reads as a fragment rather than polished guidance.

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?

An output schema exists, so return values need no explanation, and annotations cover the safety profile. Still missing for a mutation tool: prerequisites/permissions, the distinction from admin_onboard_member, and any post-creation side 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 coverage is 0%, so the description carries the burden. It usefully supplies the member_type enum values ('admin', 'creator', 'viewer') and implies the 'viewer' default, which the bare schema lacks. It says nothing about email/first_name/last_name, though those are largely self-evident from their names, keeping this at a middling score.

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 clear verb+resource ("Create a new member"), so the agent knows precisely what it does. However, it draws no boundary against closely related siblings such as admin_onboard_member or admin_update_member, so sibling 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?

No when-to-use, when-not-to-use, or alternative guidance is offered. With admin_onboard_member present among the siblings, an agent gets no help deciding which creation path to pick.

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, and openWorldHint=true, so the mutating, non-destructive profile is covered. The description adds nothing beyond them: no auth/permission requirements, no side effects (does it auto-add the creator?), and no note on what a new team starts with. With annotations carrying safety, a description that adds zero behavioral context earns only a 2.

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 waste-free, which is good, but it is terse to the point of under-specification rather than genuinely concise. Nothing is padded, yet little is conveyed.

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?

An output schema exists so return values need not be explained, but for a mutating admin tool with a 0%-documented schema, the description leaves the agent without prerequisites, parameter meaning, or post-conditions. It is inadequate for the tool's complexity.

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 mentions no parameters at all. The 'description' parameter (defaulting to empty) is especially undocumented, and there is no hint about naming constraints or uniqueness. Since the schema cannot compensate, the description should, and it 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 ('Create a new team'), so an agent knows exactly what operation is performed. It does not, however, distinguish this tool from siblings such as admin_list_teams, admin_get_team, or admin_delete_team, nor does it note the admin/tenant scope.

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, no prerequisites (e.g. permission level, existing tenant), and no mention of the related admin_update_team_members or admin_list_teams tools. Usage must be inferred 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=false, destructiveHint=false, openWorldHint=true, so the safety profile is covered structurally. The description adds nothing beyond that: no statement of side effects, permission requirements, whether creation is reversible, or what the open-world hint implies for this call.

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

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

A single short, front-loaded sentence with no filler, but the brevity comes at the cost of under-specification rather than genuine efficiency. It is neither bloated nor sufficiently informative.

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

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

For a mutating admin tool with a 0%-documented schema, an opaque `body` parameter, and no output-schema need, the description is far too thin. It leaves the agent without enough to call the tool confidently despite an existing output schema covering return values.

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

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

Schema description coverage is 0%, so the description must carry the burden and does not. It never mentions the required `name` or the free-form `body` object (anyOf object/null with additionalProperties: true), which is entirely mysterious from the schema alone.

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 verb and resource ("Create a tenant organization"), but it essentially restates the name admin_create_tenant and adds only the gloss "organization." It does not distinguish this tool from sibling tenant tools like admin_list_tenants, admin_get_tenant, or admin_list_tenants_paginated.

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 preconditions, and no mention of alternatives. An agent cannot tell from the description whether tenant creation requires prior org setup, is idempotent, or how it relates to workspace/deployment creation.

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 the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true), so the bar is lower. The description adds domain context (RLS/dynamic parameters) but says nothing about admin permission requirements, duplicate-name behavior, or whether the attribute takes effect immediately.

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?

Front-loaded purpose sentence followed by a tight parameter glossary; every line earns its place. Slightly list-like, but no filler or 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?

An output schema exists, so return values need no explanation, and all three params are documented. However, for an admin-scoped mutation the description omits prerequisites, idempotency/duplicate handling, and any note that creation is distinct from assignment — gaps that matter for correct invocation.

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

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

Schema description coverage is 0%, so the description carries the full burden and does compensate: it explains name with concrete examples ('Region', 'CustomerID'), clarifies that default_value applies 'when no override exists', and marks description as optional. This meaningfully exceeds the bare schema types.

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

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

States a specific verb+resource ('Create a user attribute') and adds the domain purpose (RLS or dynamic parameters), which an agent can distinguish from the sibling list/set/update/delete user-attribute tools. It does not explicitly name the nearest siblings (admin_set_user_attribute_for_teams/tenants), so it stops short of a 5.

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

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

The phrase 'for RLS or dynamic parameters' gives implied usage context, but there is no explicit when-to-use, when-not-to-use, or pointer to the alternative tools for assigning values to users/teams/tenants. 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?

Annotations already declare destructiveHint=true and readOnlyHint=false, so the safety profile is known. The description adds the confirm=True gate, which is genuinely useful behavioral context beyond the schema default of false, but it omits whether deactivation is reversible, what happens to the member's grants/teams, and whether elevated permissions are required.

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, zero filler, with the action stated first and the prerequisite second. It is efficiently front-loaded, though the extreme terseness means it carries little beyond the bare minimum.

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?

An output schema exists so return values need not be described, and the confirm gate is stated. For a destructive admin operation, however, the description is missing the permission requirement, the effect on the member's existing access, and reversibility, leaving meaningful gaps for an irreversible-feeling action.

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

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

Schema description coverage is 0%, so the description must compensate, and it partially does by clarifying that confirm must be set true rather than left at its default false. The member_id parameter gets no explanation, though its meaning is self-evident from the name.

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?

"Deactivate a member" gives a specific verb plus resource, and the singular scope distinguishes it in practice from the sibling admin_bulk_deactivate_members. It stops short of explicitly naming that bulk alternative, so an agent must infer the distinction from the tool name rather than the description.

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 only usage-like information is the confirmation prerequisite ("Requires confirm=True"), which tells the agent how the call will succeed but not when to pick this tool over admin_bulk_deactivate_members, admin_update_member, or admin_onboard_member. No when/when-not guidance or alternatives are offered.

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 destructiveHint=true and readOnlyHint=false, so the destructive nature is covered. The description adds the non-obvious confirmation gate, which is real added value, but says nothing about cascade effects (team members, grants, user-attribute bindings) or irreversibility.

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, zero filler, with the core action front-loaded and the prerequisite immediately after. Nothing could be removed without losing meaning.

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

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

An output schema exists, so return values need not be explained, and annotations cover the destructive profile. However, for an irreversible admin deletion the description omits cascade scope and permission requirements, leaving the agent with a thin picture of the operation's blast radius.

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, so the description must compensate. It clarifies that confirm must be true (versus the schema's default of false), but team_id carries no added semantics beyond its name.

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 ('Delete a team'), which clearly separates it from admin_create_team, admin_get_team, and admin_update_team_members. It does not explicitly name a sibling or scope the deletion, but the purpose is unambiguous.

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

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

The description supplies a hard prerequisite ('Requires confirm=True'), which is genuinely useful for correct invocation, but gives no when-to-use/when-not guidance and does not point to alternatives such as archiving or removing members instead.

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 destructiveHint=true, so 'DESTRUCTIVE' is partly redundant, but the description adds a genuinely valuable behavioral requirement: the agent must pass confirm=True to execute. That confirmation gate is not conveyed as mandatory by the schema (which merely shows default=false), so the disclosure meaningfully changes how the agent must invoke the 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?

Three short, front-loaded sentences with no filler; the destructive warning and confirm requirement are stated directly. Appropriate size for the operation, though terse enough that it omits useful clarification on the identifiers.

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?

An output schema exists so return values needn't be described, and annotations cover the safety profile. The confirm requirement is captured, but with a 0%-coverage schema the required parameters remain undefined, leaving a gap for a destructive mutation tool.

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

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

Schema description coverage is 0% for three parameters, and the description only explains the confirm flag while leaving attribute_id and team_id (the two required fields) entirely unqualified beyond their names. It does not compensate for the coverage gap on the required identifiers.

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 (Delete) and resource (user attribute assignment) with the scope qualifier 'for a specific team', which cleanly distinguishes it from the sibling delete_user_attribute_for_user and _for_tenant variants. It does not name those siblings, but the scope qualifier makes the tool selectable among them.

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

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

Provides no when-to-use guidance and does not reference alternatives (the _for_user/_for_tenant deletes or the update variants). The only guidance is the confirm requirement, which is a prerequisite rather than usage context.

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

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

Annotations already declare destructiveHint=true, but the description adds real value by flagging DESTRUCTIVE in the text and disclosing the confirm=True gate, which the schema shows only as a boolean defaulting to false with no description. It still does not say whether the deletion is reversible or cascades to related assignments.

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 that are front-loaded with the operation and scope, then the safety caveat. Nothing is wasted or redundant.

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

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

For a destructive admin tool with rich annotations and an output schema, the description covers scope, the destructive nature, and the confirmation requirement. Missing only post-condition details (reversibility, what state remains after deletion), which is a minor gap.

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

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

Schema description coverage is 0%, so the description carries the load; it usefully explains the confirm parameter's requirement, while attribute_id and tenant_org_id are left to their self-explanatory names. It compensates for the one non-obvious parameter but not fully 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 (Delete), resource (user attribute assignment) and exact scope ('for a specific tenant'), which cleanly distinguishes it from the sibling admin_delete_user_attribute_for_user and admin_delete_user_attribute_for_team tools.

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

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

The 'for a specific tenant' scope implicitly signals when this tool applies rather than the user- or team-scoped variants, but the description never explicitly names those alternatives or states preconditions beyond the confirm requirement.

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 destructiveHint=true and readOnlyHint=false, so 'DESTRUCTIVE' is largely redundant. However, the description adds a genuinely non-obvious operational requirement, 'Requires confirm=True', which is not enforced by the schema (confirm defaults to false and is not in the required list). It stops short of saying what happens if confirm is omitted or whether the deletion 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?

Three short, front-loaded sentences with zero filler; the destructive warning and required-flag convention sit immediately after the action statement.

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 mutation with an output schema (so return values need no explanation), the definition covers action, scope, destructiveness, and the confirm requirement. Remaining gaps are permission/authorization expectations and the failure mode when confirm is false.

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

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

Schema description coverage is 0%, so the description carries the burden. It explains the semantics of confirm=True, but says nothing about user_id or attribute_id (formats, where to obtain them), leaving two of three parameters documented only by their names.

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 (Delete) and resource (user attribute assignment) with an explicit scope ('for a specific user'), which cleanly separates it from the sibling team and tenant variants. An agent can distinguish it without opening the schema.

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

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

The scope phrase 'for a specific user' implies when this variant applies versus the team/tenant siblings, but it never names those alternatives or states prerequisites. 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered structurally. The description adds no behavioral context beyond that (no auth requirements, no pagination or scope notes), and the output schema covers the return shape.

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 short, front-loaded sentence with no waste. It is appropriately sized, though it is arguably under-specified rather than richly 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?

For a simple single-id getter, the annotations cover safety and the output schema covers return values, so the description does not need to explain those. It is adequate, though it could name the sibling list tool for routing clarity.

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

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

Schema description coverage is 0%, so the schema documents nothing about connector_id. The description only implies the id identifies a connector; the parameter name is self-explanatory, so minimal compensation is required and minimally delivered.

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+resource ('Get details for an API connector'), which an agent can distinguish from the sibling admin_list_api_connectors. However, it does not explicitly differentiate itself from the list variant in text, leaving that inference to the name alone.

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

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

No explicit when-to-use or when-not-to-use guidance is given. Usage is only implied by the verb 'Get' plus the required connector_id, which suggests fetching one connector versus listing many. No alternatives or prerequisites are 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?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds only the word 'authenticated', hinting that a valid session/credential is required, but says nothing about what data is returned or any scoping behavior.

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 zero filler. Nothing could be removed without losing meaning.

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

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

An output schema exists so return values need not be described, and the zero-parameter signature leaves no ambiguity about invocation. For a simple read of the caller's own identity, the description is sufficient, though a one-clause contrast with admin_get_member would have made it fully complete.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate beyond the fact that no input is needed. Baseline 4 applies for a no-parameter tool.

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 ('Get') and resource ('current authenticated user's details'), which is unambiguous about what is retrieved. It is implicitly distinct from the sibling admin_get_member because no identifier is required, but the description never explicitly contrasts the two.

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 'current authenticated user' implies the use case (identifying the caller/self), but there is no explicit when-to-use guidance, no mention of when to prefer admin_get_member with an ID, and no stated prerequisites.

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

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that — no note on permissions, access scope, or error behavior for a missing/invalid deployment id.

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 sentence with no padding, but it is under-specified rather than efficient — there is no content to front-load. Brevity here is a symptom of missing information, not discipline.

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?

An output schema exists so return values needn't be explained, and the tool is low-complexity. However, the deployment-versus-policy naming ambiguity and the total absence of routing guidance to sibling tools leave the definition short of what an agent needs 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%, so the single parameter policy_id is documented nowhere except its name. The description does not explain what identifier is expected, where to obtain it (e.g., from admin_list_deployments), or its format.

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 a resource ('Get a deployment policy'), but the resource noun does not match the tool name ('deployment') or its siblings like admin_list_deployments and admin_archive_deployment, leaving ambiguity about whether this fetches a deployment or a separate policy object. It also offers no differentiation from 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?

There is no when-to-use guidance and no mention of alternatives such as admin_list_deployments for discovery versus this for fetching a single item by id. The agent must infer the retrieval-vs-listing split entirely on its own.

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, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered elsewhere. The description adds no behavioral context beyond the read itself — no permission requirements, no error behavior, no note on what homeFolderId implies.

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 short sentence with the resource and a key returned field front-loaded; nothing is padded. It is arguably too terse rather than wasteful, but on the conciseness dimension itself it performs well.

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?

An output schema exists, so return values need not be explained, but the description leaves the required identifier format unspecified and offers no routing against the many sibling member tools. For a retrieval tool with zero schema coverage on its only parameter, that is a meaningful gap.

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 the single required member_id parameter, so the schema provides no format guidance. The description does not compensate — it never clarifies whether member_id is an internal ID, an email, or a username, which is exactly the ambiguity that causes failed calls.

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 (Get) and resource (member details), and even names one returned field (homeFolderId). It does not, however, distinguish itself from close siblings such as admin_list_members, admin_get_current_user, or admin_onboard_member, so an agent must still infer which member-fetch tool applies.

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. With several sibling tools that also return member data (admin_list_members, admin_get_current_user, admin_list_all_members), the description gives the agent nothing to route on.

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, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that: no note on required admin permissions, no behavior for unknown/invalid setting names, no indication of whether values are cached or resolved per-tenant.

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 short sentence with no filler, and the key resource is front-loaded. It is efficient, though the terseness shades into under-specification rather than true conciseness.

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?

An output schema exists, so return values need not be described. For a simple one-param getter with read-only annotations, the minimal shape is nearly sufficient, but the absence of valid setting names or any usage context leaves a real gap for an agent trying 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?

The single parameter setting_name has 0% schema description coverage, and the description does not name it, describe its expected format, or list valid setting keys. With a required free-form string and no enum, the description should have compensated 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 (Get) and resource (organization setting value), which is more than a tautology of the name. However, it does not differentiate itself from the sibling admin_update_org_setting or admin_configure_org_ai, leaving the agent to infer the pairing from the name alone.

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 indication of when to use this versus the sibling admin_update_org_setting, nor any prerequisite or context (e.g., read-only inspection before updating, admin scope). Usage is only implied by the verb 'Get'.

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, destructiveHint=false, and openWorldHint, so safety is covered. The description adds nothing beyond that: no note on required permissions, scoping, or whether the team_id must come from admin_list_teams. For a terse read tool this is a minimal contribution.

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?

Extremely short and front-loaded, with no wasted words, but the brevity here reflects under-specification rather than efficient communication. Three words is not enough to carry the tool's semantics.

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?

An output schema exists, so return-value explanation is not required, and annotations cover the safety profile. Given the simple single-parameter shape, the definition is minimally viable, though it leaves the team_id's provenance and the tool's position relative to list-team siblings 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%, so the description was expected to compensate for the undocumented team_id parameter, but it provides no format, source, or constraints. The parameter name is self-evident, which prevents a 1, but no added meaning is delivered.

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 (Get) and resource (team), so the basic operation is identifiable. However, 'details' is vague and the description does nothing to distinguish it from siblings like admin_get_tenant, admin_get_member, or admin_list_teams — the agent must infer scope from the name alone.

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 such as admin_list_teams (for enumeration) or admin_list_team_members (for membership). The agent is left to infer the retrieval-vs-list distinction entirely from the tool 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=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds only that the object is an "organization" tenant, with no note on permissions, tenant-id sourcing, or error behavior for invalid ids.

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 redundancy. It is efficient, though it errs toward being too terse for 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?

An output schema exists, so return-value explanation is not required, but for a tool with a required, undocumented tenant_id and multiple similar siblings, the description leaves an agent without enough to invoke it confidently versus alternatives.

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 single required parameter (tenant_id) is documented only as a bare string type. The description does not explain where tenant_id comes from or what identifiers are accepted, so it fails to compensate for the schema 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 has a clear verb+resource ("Get tenant organization details"), but "organization details" is vague about what is actually returned. It also fails to distinguish this tool from close siblings such as admin_list_tenants, admin_list_tenants_paginated, and admin_get_tenant_scoped_info, which an agent must choose between.

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. Given the sibling set includes several tenant-related lookups (list, paginated list, scoped info), the absence of any selection criteria 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, destructiveHint=false and openWorldHint=true. The description usefully explains why it is open-world: it performs an RFC 8693 token exchange and makes an outbound whoami call. That is real mechanism-level context, though it says nothing about permissions required or failure modes.

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 with the mechanism front-loaded and no filler. Slightly loose wording ('Demonstrate') costs a point but the structure is tight.

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?

An output schema exists, so return values need no explanation. However, for a tool whose only input is undocumented and whose trigger condition is unstated, the description leaves real gaps an agent must close on its own.

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 single parameter tenant_org_id is not mentioned in the description at all. With no enum, no format hint and no explanation of what a tenant org id is or where to obtain it, the agent gets no semantic help for the only input it must supply.

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 mechanism and target: a tenant-scoped token is obtained via RFC 8693 exchange and then /whoami is called to verify the scoped identity. That is specific enough to distinguish it from admin_get_current_user and admin_get_tenant, though the opening verb 'Demonstrate' is loose and no sibling is named explicitly.

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 call this versus alternatives such as admin_get_current_user or admin_get_tenant. The reader must infer that it is a verification/diagnostic tool from the flow description rather than from any explicit guidance.

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

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered structurally. The description adds no behavioral context beyond the name: no pagination behavior, no scope of 'all' (across tenants?), and no note about permission requirements for an admin-scoped read. With annotations carrying the load, the description contributes little.

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 filler, purpose front-loaded in the first three words. Nothing repeats the name or title verbatim.

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?

An output schema exists, so return values need not be explained, and a single-parameter read tool is inherently simple. The remaining gap is that the only input parameter is undocumented in both schema and description, leaving the agent without the information needed to supply a valid attribute_id.

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 the single parameter attribute_id, and the description does nothing to compensate: it never states what the attribute ID identifies or where it is obtained (e.g., from admin_list_user_attributes). The parameter's format and provenance are undocumented everywhere.

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 ('Get') and resource ('all team assignments for a user attribute'), so an agent knows exactly what is returned. It does not explicitly distinguish itself from close siblings such as admin_get_user_attribute_users or admin_get_user_attribute_tenants, though the name plus the word 'teams' makes the distinction inferable.

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 admin_get_user_attribute_tenants or admin_get_user_attribute_users, and no mention of prerequisites such as where attribute_id comes from. The agent must infer the selection condition purely from the token 'teams'.

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, destructiveHint=false and openWorldHint=true, so the safety profile is covered without description help. The description adds only the word 'all', hinting at unbounded result scope, but says nothing about pagination, tenant scoping rules, or permission requirements.

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

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

A single front-loaded sentence with zero filler; the read target and scope are stated immediately. Nothing in it is redundant with the tool name or wasted verbiage.

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?

An output schema exists, so return-value explanation is not required, and annotations carry the safety profile. Still, for a lookup tool sitting among several near-identical siblings, the description is thin on the tenant-scoping behavior and the meaning of 'all' that an agent would need to call it confidently.

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 single parameter attribute_id is undocumented. The description only implicitly ties attribute_id to 'a user attribute' without stating expected format (ID vs. name), where to obtain the ID, or what happens with an unknown ID, so it does not 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 ('Get') and resource ('tenant assignments for a user attribute'), which is clear enough to distinguish from write siblings like admin_set_user_attribute_for_tenants and admin_update_user_attribute_for_tenants. It does not, however, name the natural read-alternatives admin_get_user_attribute_users or admin_get_user_attribute_teams, so sibling 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?

No when-to-use or when-not-to-use guidance is given. The agent must infer from the verb alone whether this is the correct read tool versus admin_get_user_attribute_users, admin_get_user_attribute_teams, or the set/update variants that also target tenants.

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, destructiveHint=false and openWorldHint=true, so safety is covered by structured data. The description adds nothing beyond that: no pagination behavior, no result-size expectations, no note about what an unassigned attribute returns. It only restates the read semantics already encoded in the annotations.

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 short sentence with no filler, and the key scope term ('users') is front-loaded. It is efficient, though its brevity is partly under-specification rather than true conciseness.

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?

An output schema exists, so return values need no explanation, and the operation is a simple single-parameter read. Still, the lone required parameter is undocumented and there is no routing to the team/tenant sibling variants, leaving a modest gap for an agent choosing among four similarly named attribute tools.

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 single parameter attribute_id has no description in either place. The phrase 'for a user attribute' hints that attribute_id identifies the attribute, but no format, source (admin_list_user_attributes), or constraint is given, so the description does not 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: 'Get all user assignments for a user attribute.' An agent can distinguish this from the team/tenant variants in the sibling list because the scope word 'users' is present, though the description never names those siblings explicitly.

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 mention of when to prefer admin_get_user_attribute_teams or admin_get_user_attribute_tenants, and no prerequisites (e.g. admin scope required). The agent must infer usage purely from the tool 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=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered by structured data. The description adds only the synonym 'license types' and the org-level scope, with no mention of pagination or result size for what may be a tenant-wide enumeration.

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 zero filler. Nothing could be removed without losing information.

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

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

With no parameters and an output schema present, the description need not explain return values, and the annotations carry the safety profile. The only gap is the absence of any note on scope or result volume for an org-wide listing.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool 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 ('List all account types') and disambiguates the term with the parenthetical '(license types)'. No sibling tool covers account/license types, so there is nothing to differentiate against, but the purpose is unmistakable.

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 offers no when-to-use context, prerequisites, or alternatives. It does not note that the call is org-scoped and returns the full unfiltered set, so an agent gets no guidance beyond the literal verb.

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 cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true). The description adds one genuine behavioral fact beyond them: pagination is handled internally, so the caller gets the full set in one call. It does not address result size, latency, or truncation risk on a large organization, so it is useful but not rich.

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 sentence that front-loads scope ('ALL members in the organization') before the pagination behavior. Every word earns its place with no preamble or 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?

With no inputs, an output schema to define return values, and annotations covering safety, the description supplies what is needed to call it correctly: scope and auto-pagination. It stops short of noting result-size implications for large orgs or naming the paged alternative, which would make the routing complete.

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

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

The tool takes zero parameters, so the baseline is 4. Schema coverage is 100% and there is nothing for the description to disambiguate about 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?

States a specific verb and resource with scope: 'List ALL members in the organization.' The capitalized ALL plus 'automatically following pagination' hints at how it differs from the sibling admin_list_members, but it never names that sibling, so the differentiation is inferred 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?

Implies the condition for use (when you want the complete member list rather than paged results), which effectively contrasts with admin_list_members. However, no alternative is named and no exclusions or prerequisites are given, so the agent must infer the choice from the ALL/pagination phrasing.

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, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds the org scope and the v3alpha version tag, which are useful, but says nothing about pagination behavior or auth requirements for an admin endpoint.

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 the verb and resource first and no filler. Nothing is wasted, though it is arguably too short for an admin endpoint.

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 an output schema present, return values need no explanation, and the annotations carry the safety profile. What is missing is pagination guidance for a paged list tool; otherwise the agent has enough 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 coverage is 0%, so both parameters are undocumented in structured form, and the description does not compensate. However, page_size and page_token are conventional pagination names an agent can interpret without further text, so this lands at a baseline 3 rather than lower.

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 (List) and resource (IP allowlist entries) scoped to the organization, and the '(v3alpha)' marker signals the API surface. It is clearly distinguishable from admin_add_allowed_ips and admin_remove_allowed_ips, though it does not name them explicitly.

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 the mutation siblings that would be alternatives for changing the allowlist. The read-only intent is inferable from the verb, but the description provides no explicit routing.

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 the safe read-only, non-destructive profile. The description adds a genuinely useful behavioral trait beyond them: pagination is handled automatically, so the caller must not implement its own loop. It stops short of noting rate limits or result-size implications.

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 sentence with the scope ('ALL teams') front-loaded and the pagination behavior attached. Nothing is wasted and nothing important is 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?

Return values are covered by the output schema and safety by annotations, so the description only needed to add scope and pagination behavior — which it does. The remaining gap is the absence of an explicit pointer to admin_list_teams for the paginated alternative.

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

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

The tool takes zero parameters, which is the baseline-4 case. With no inputs to document, there is no semantic gap for the description to fill.

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 ALL teams') plus scope ('in the organization'), which contrasts with the sibling admin_list_teams. It does not name that sibling explicitly, so the differentiation from the paginated variant must be inferred from 'ALL'.

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 by 'ALL' and 'automatically following pagination' — an agent can infer this is the convenience variant for fetching the complete team list. However, it never states when to prefer admin_list_teams instead, nor any prerequisites such as admin permissions.

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, destructiveHint=false, and openWorldHint=true, so the safety and open-world profile is covered. The description adds only the clarifying gloss 'custom data integrations'; it says nothing about pagination, result volume, or auth requirements, so it adds modest value beyond structured data.

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 short sentence with the verb and resource front-loaded and zero filler. Nothing could be trimmed without losing meaning.

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

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

With an output schema handling return values and annotations covering safety, the description need only identify the resource, which it does. The only residual gap is any hint about the scope/volume of the listing, which is minor for a parameterless read tool.

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

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

The tool takes zero parameters, so per the baseline there is nothing for the description to disambiguate; the schema is trivially complete. No penalty beyond the default ceiling for a no-param tool.

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 all API connectors', with a helpful parenthetical clarifying that these are custom data integrations. It is distinguishable from siblings like admin_get_api_connector (singular retrieval) and datasets_list_connections, though it does not explicitly call out those distinctions.

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 'List all' implies an unfiltered enumeration, which is mild usage context, but there is no statement of when to use this versus admin_get_api_connector or the connection-related dataset tools, and no mention of prerequisites or scope.

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, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing further — no pagination, ordering, or scope of 'documents' — so it contributes essentially no behavioral context beyond the structured annotations.

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 zero filler, which is structurally clean. It is arguably clipped to the point of under-specification rather than optimally 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?

An output schema exists so return values need not be explained, but for a list tool nothing is said about pagination, result limits, or what constitutes a 'document' in a deployment policy. Given the dense admin sibling namespace, the definition is too thin to call with confidence.

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

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

Schema description coverage is 0%, so the schema documents nothing about policy_id. The description only implies that the id refers to a deployment policy; it does not state whether it is an id or name, where to obtain it, or the expected format.

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 (List) and resource (documents in a deployment policy), which is enough to tell it apart from most workbooks/datasets siblings. However, it does not distinguish itself from its closest sibling admin_add_deployment_documents, so the read-vs-write contrast is left implicit.

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 or when-not-to-use guidance and no mention of alternatives such as admin_get_deployment or admin_add_deployment_documents. The agent must infer from the name alone that this retrieves the document set attached to a policy.

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 and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond the bare action - no note on scope (tenant-wide vs org-wide), pagination, or how many policies are returned, despite openWorldHint suggesting results extend beyond a closed set.

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 five-word sentence, front-loaded with the verb. It is efficiently sized, though its brevity reflects under-specification as much as discipline.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. Still, the word 'all' leaves pagination and scope unanswered for a zero-param list tool, which is the minimum viable level of completeness.

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

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

The input schema has zero parameters, so per the rubric the baseline is 4. There is nothing parameter-wise for the description to document or compensate for.

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 (List) and resource (deployment policies), which distinguishes it from admin_get_deployment, admin_create_deployment, and admin_archive_deployment. It does not, however, clarify the plural ambiguity or differentiate it from the capability-named list_all_* siblings elsewhere in the toolset.

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 indication of when to use this versus admin_get_deployment for a single policy or the deployment-document listers. An agent gets the basic action but no selection criteria or exclusions.

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, openWorldHint=true, and destructiveHint=false, so the safety profile is clear. The description adds no behavioral context beyond what annotations provide—no mention of pagination, auth requirements, or output format. With annotations covering the basics, this is adequate but not enriching.

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 concise sentence that front-loads the key information. It is efficient and not padded, though the 'Required: inodeId' part is somewhat redundant given the schema's required field.

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

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

Given the tool's complexity (1 parameter, no schema coverage) and the presence of an output schema (which reduces the need to describe returns), the description is still insufficient. It lacks usage context, parameter details, and differentiation from similar grant-listing tools. More information is needed for an agent to call it confidently.

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%, meaning the single parameter (inode_id) is completely undocumented in the schema. The description only repeats that inode_id is required, providing no additional semantics such as format, valid values, or how to obtain it. The description fails to compensate for the schema 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 (List) and resource (grants) and specifies the identifier type (inodeId). However, it does not explicitly differentiate itself from sibling tools like workbooks_list_workbook_grants or datasets_list_connection_grants, leaving ambiguity about which grant-related tool to use in which context.

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

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

The description provides no guidance on when to use this tool versus alternatives. With many grant-listing siblings (e.g., workbooks_list_workbook_grants, workspace_list_workspace_grants, datasets_list_connection_grants), the agent must guess which one applies. The note 'Required: inodeId' is a parameter constraint, not usage guidance.

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

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds one genuine behavioral fact beyond that — summary_only yields a concise, token-efficient response — but says nothing about pagination (the limit default of 200) or result size against an unbounded org. Modest added value.

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, the core purpose front-loaded and the parameter tip second. Zero filler; every sentence earns its place.

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

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

An output schema exists, so return-value explanation is not required, and annotations cover safety. What is missing is pagination semantics for limit and any disambiguation from admin_list_all_members, which leaves the agent guessing on the two things the description could have clarified.

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

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

Schema coverage is 0%, so the description must carry the parameter burden. It gives actionable meaning for summary_only ("concise token-efficient response"), which is a real improvement over an undescribed boolean, but it says nothing at all about limit — its pagination role, max value, or what happens at the default of 200.

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 all members in the organization"), so the operation itself is unambiguous. However, it never distinguishes itself from the near-identical sibling admin_list_all_members, which an agent would struggle to choose between; clear but no sibling differentiation.

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 exclusions, and no mention of the competing admin_list_all_members or admin_get_member tools. The only quasi-guidance is a parameter tip about summary_only, which is not the same as routing advice.

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, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond the name: it does not mention pagination behavior, result ordering, or what happens if the member does not exist.

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 short sentence, front-loaded with the operation and resource, with zero filler. It is efficient, though its brevity is part of what leaves the gaps noted above.

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?

An output schema exists, so return values need not be described, and the annotations cover safety. The remaining gaps are the member_id semantics and the lack of any routing against the inverse team-members listing tool, leaving it only minimally complete.

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

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

Schema description coverage is 0%, so the description carries the full burden for the single member_id parameter. It never states whether member_id is an internal ID versus an email or external identifier — a distinction that matters given the many admin member tools that consume member identifiers.

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 teams a member belongs to'), making the direction of the relationship unambiguous versus the inverse sibling admin_list_team_members. It does not, however, explicitly name that sibling or otherwise differentiate itself from admin_list_teams.

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 by the phrasing — this is clearly the way to enumerate a member's team memberships — but there is no explicit when-to-use statement, no mention of the inverse tool admin_list_team_members, and no prerequisite or auth guidance.

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

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds nothing behavioral beyond scope: it does not mention pagination behavior, result-size limits, permission requirements, or ordering, effectively restating the title.

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 short sentence with the scope front-loaded and no filler. It is tight, though the tightness comes at the cost of the missing detail rather than earned brevity.

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?

An output schema exists, so return values need not be described. For a simple two-parameter list tool that is much of the job, but the pagination parameters remain unexplained in both schema and description, leaving a real gap.

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 page_size and page_token, so the description must compensate and does not. Saying 'all' arguably misleads about the paginated nature of the call, and no default, maximum, or token semantics are explained.

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 specific verb ('List'), a clear resource ('workbook agents'), and a scope ('across the organization') that distinguishes it from the near-identically named sibling workbooks_list_workbook_agents. It stops short of explicitly naming that sibling, so the differentiation must be inferred from the word 'org'.

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 org-wide scope implicitly signals when to reach for this tool rather than the per-workbook listing variant, but no alternative is named and no conditions, prerequisites, or exclusions are stated. Usage is implied only.

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, openWorldHint=true and destructiveHint=false, so safety is covered without the description. The description's only extra content is a literal restatement of 'read_only_hint: True', which adds nothing beyond the structured annotation, and it omits ordering, retention window/pagination behavior, and whether this is tenant-scoped.

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 sentence is tight and front-loaded, but the trailing 'read_only_hint: True' line is pure duplication of the annotation block and should be dropped. Size is small, yet one of the two lines is waste.

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?

An output schema exists, so return values need no explanation. However, for a tool whose entire premise is recency, the description never defines the lookback window, ordering, or result cap behavior, and leaves both input parameters 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% for two parameters: 'limit' (default 20) and 'event_type' (free-form string, no enum). The description mentions neither, so an agent gets no vocabulary for valid event types and no notion of how limit interacts with recency. With low coverage the description is expected to 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 ('List') and a specific resource ('recently recorded incoming Sigma webhook events'), which is enough to tell it apart from the many workbooks/datasets/admin siblings. No sibling webhook tool exists to contrast against, so plain clarity is achievable and delivered.

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 offers no when-to-use guidance, no prerequisites, and no statement of what 'recently' means in practice. An agent must infer everything from the tool name; nothing routes it here versus any other admin listing tool.

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

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

Annotations already provide readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no further behavioral context such as pagination, permissions, or result limits, so it does little beyond the annotations.

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

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

The description is a single, front-loaded sentence with no wasted words. It is appropriately terse, though that terseness reflects the overall lack of detail rather than strong structure.

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

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

For a simple one-parameter read tool with an output schema and annotations covering safety, the description is minimally sufficient to invoke it. It is still incomplete on when to use it over close siblings and on the meaning/format of team_id.

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

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

Schema description coverage is 0%, so the description must compensate for the undocumented team_id parameter. 'Of a team' weakly implies that team_id identifies the team, but it gives no format, required-status, or lookup guidance.

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

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

The description states a clear verb and resource: 'List members of a team.' This distinguishes it from most siblings, and the team-scoped resource is explicit. It does not, however, explicitly contrast with close alternatives like admin_list_members or admin_list_member_teams.

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 and no mention of alternatives or prerequisites. The name implies a listing operation, but the description itself offers no routing help versus siblings such as admin_list_members.

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, destructiveHint=false and openWorldHint=true, so the safety profile is covered without description help. The description adds the useful behavioral note that summary_only yields a token-efficient response, but says nothing about pagination, the meaning of the 200 default limit, or result size.

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, purpose front-loaded, zero filler. Nothing is wasted or 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?

An output schema exists, so return values need not be described. Still, an agent lacks the limit semantics and any routing signal against the sibling admin_list_all_teams, which are real gaps for a list tool with two undocumented parameters.

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

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

Schema description coverage is 0%, so the description must carry parameter meaning. It explains summary_only well ('concise token-efficient response') but says nothing about limit, leaving half of the two parameters undocumented anywhere.

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

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

States a specific verb and resource ('List all teams'), so the operation is immediately clear. However, it does nothing to distinguish itself from the near-identical sibling admin_list_all_teams, which an agent could easily pick by mistake.

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 and no mention of alternatives such as admin_list_all_teams or admin_list_team_members. The only conditional advice given concerns a parameter value, not tool selection.

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, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds only the multi-tenant scoping note; it says nothing about pagination behavior or result size, which matters given the existence of a paginated sibling.

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 short sentence with no waste and the scoping qualifier front-loaded. Nothing could be removed without losing meaning.

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

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

An output schema exists, so return values need not be explained. However, the description omits any routing hint versus admin_list_tenants_paginated, and says nothing about result volume, which is the main thing an agent needs to decide between the two.

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

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

The tool takes zero parameters, so the baseline is 4. Schema coverage is 100% and the description adds no parameter detail, which is correct here.

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

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

States a specific verb (List) and resource (tenant organizations), with a parenthetical clarifying scope for multi-tenant deployments. It does not distinguish itself from the sibling admin_list_tenants_paginated, which is a near-identical resource listing.

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 by the name and the 'multi-tenant deployments' note, but there is no explicit when-to-use guidance and no mention of the alternative admin_list_tenants_paginated, which an agent would plausibly need to choose between.

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 cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true). The description adds a real behavioral fact beyond them: pagination is cursor/nextPageToken based rather than offset based. Against that, 'Returns the complete list of all tenant organizations' sits awkwardly with a paginated tool and no page-size, limit, or continuation guidance is given.

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?

Three sentences where two would do: 'List all tenants using cursor-based pagination' and 'Unlike offset-based pagination, tenants use cursor tokens' restate the same fact. The trailing 'Returns the complete list of all tenant organizations' is largely redundant with 'List all tenants.'

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 input parameters and an output schema present, the description only needs to frame what the tool returns and how it is paged — which it does. The pagination framing is adequate, though the 'complete list' phrasing slightly muddies how paging is meant to be consumed.

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?

There are zero parameters and 100% schema coverage, so the baseline is 4. The description introduces terminology (nextPageToken) that the agent will encounter in the response, which is a small useful addition over the empty input 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?

Specific verb+resource (list tenants) with the pagination mechanism called out, which is the distinguishing feature of this tool. However, it never names its obvious sibling admin_list_tenants, so the agent must infer from the name suffix alone whether this is the preferred variant.

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

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

The statement 'tenants use cursor tokens' explains the mechanism but not when to pick this tool over admin_list_tenants. There is no explicit when-to-use, no exclusion, and no named alternative, so routing is left to inference from the tool 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=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds no behavior beyond that: no pagination/result-size behavior, no scoping semantics, no auth requirements. It essentially restates the resource name.

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 short sentence with the action verb front-loaded and zero filler. Nothing is wasted, though nothing is elaborated 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?

With no input parameters, annotations covering the safety profile, and an output schema that documents the return shape, the description carries little additional burden. It is adequate, though a note on scope (org vs tenant) would have closed the remaining gap.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; the schema is closed (additionalProperties: false) and fully described. Baseline for a no-parameter tool is 4.

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

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

The description states a clear verb ('List') plus a specific resource ('organization translation files'), which lets an agent distinguish it from the other admin_list_* siblings (deployments, tenants, members). It stops short of explaining what a 'translation file' is in this product, so the resource is named but not fully characterized.

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, no prerequisite/permission notes, and no indication of whether results are org-wide or tenant-scoped. 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=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds the semantic context that attributes drive row-level security and dynamic parameters, but says nothing about scope, volume, or ordering of the returned list.

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 the action first and the explanatory parenthetical after; there is no filler or repetition.

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?

An output schema exists, so return values need not be described, and the tool is a zero-parameter list operation. The description is essentially complete for this complexity, though a note on what the returned attribute set covers would fully close 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 tool takes zero parameters, so the schema has nothing to document and the baseline of 4 applies. The description adds no parameter meaning, but none is needed.

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 all user attributes') and adds a clarifying parenthetical about what the attributes are used for (row-level security, dynamic parameters). It distinguishes itself from write-oriented siblings like admin_create_user_attribute and admin_set_user_attribute_for_teams, though it does not explicitly name them.

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

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

Usage is only implied by 'List all' and the parenthetical use case; there is no explicit statement of when to call this versus the per-user/team/tenant attribute getters such as admin_get_user_attribute_users. Adequate but leaves the agent to infer the distinction.

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