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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=false, so write/non-destructive/non-idempotent behavior is covered structurally. The description adds no behavior beyond that – it doesn't say what is returned, whether unknown tags are auto-created, or how tag name vs tag ID resolution errors surface.

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

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

The purpose sentence is front-loaded and the Args list is compact and scannable. Every line maps to a real parameter with no filler prose.

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

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

With no output schema, an agent would benefit from knowing what a successful create returns (e.g., the new idea ID for follow-up calls such as prodpad_create_idea_userstory), but the description omits this. Annotations plus full schema coverage make it callable, but return-value context is missing.

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

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

Schema description coverage is 100%, so every parameter is already documented in the schema, and the description largely restates the same field list (HTML formats, enum values, status lookup hint) rather than adding new semantics. Baseline 3 applies when the schema does the heavy lifting.

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 new idea in ProdPad'), which cleanly separates it from sibling creators like prodpad_create_initiative and prodpad_create_userstory. It does not explicitly name those siblings or state scope boundaries, but the resource 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 only routing guidance is 'Use prodpad_list_statuses to find IDs' for status_id, which is useful, but there is no when-to-use vs prodpad_create_initiative/other creation tools, and no prerequisite or duplicate-handling guidance. Usage is implied by the tool name rather than explained.

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 a write operation (readOnlyHint=false, idempotentHint=false), so the agent knows this mutates state and is non-idempotent. The description adds nothing beyond that: no note on whether the parent idea must exist, what happens on duplicate stories, or what the response returns. Given annotations carry the safety profile, this remains a thin disclosure.

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-loads the purpose in one sentence, which is good, but the args list largely duplicates the schema. It is not wasteful enough to penalize heavily, yet it doesn't earn its lines by adding value.

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

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

A create tool with no output schema and no mutation-behavior details. The essential calling information (required params, formats) is present via the schema, but the description omits return shape, error conditions, and sibling disambiguation. Adequate but with clear gaps.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters including the story-format example. The description restates the parameters and repeats the example verbatim, adding no meaning beyond the schema. Baseline 3 applies.

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

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

States a specific verb+resource: 'Create a new user story for an idea.' The relationship to the parent idea (via id) is clear. However, it doesn't explicitly distinguish these idea-scoped stories from the sibling prodpad_create_userstory, leaving some ambiguity about which creation tool to pick.

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. With both prodpad_create_userstory and prodpad_create_idea_userstory as siblings, the description never explains when this idea-scoped variant is the right choice versus the generic one. No prerequisites or exclusions are stated.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=false, so the agent knows this is a non-destructive, non-idempotent write. The description adds prerequisite-chain guidance but says nothing about what is created, whether duplicates are rejected, permission requirements, or what the response contains. Useful but thin relative to the burden for an 11-parameter 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?

The one-line summary is front-loaded and clear. The Args list, however, duplicates ten parameters that the schema already documents at 100% coverage, so a meaningful portion of the text does not earn its place and one parameter is dropped inconsistently.

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

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

For an 11-parameter creation tool the description covers the required fields and prerequisites adequately, and annotations carry the safety profile. With no output schema, though, it leaves the return value and any constraints on linking objectives/ideas/owner entirely unspecified.

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

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

Schema description coverage is 100%, so the baseline is 3. The Args block largely restates the schema's own field descriptions rather than adding meaning (and even omits target_date_format, which the schema documents), so it neither compensates for nor extends the structured data.

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 initiative in ProdPad') and names the two required fields up front, so the agent immediately knows this is the creation path for initiatives. It does not explicitly contrast itself with siblings, but among the sibling list only this tool creates an initiative, so the ambiguity risk is low.

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 implies usage context by requiring title and roadmap_id and pointing to prodpad_list_roadmaps / prodpad_get_roadmap for ID lookup, which is genuinely useful prerequisite guidance. However, it never says when to use this versus e.g. prodpad_create_idea or how it fits in a workflow, and gives no exclusions or preconditions beyond the required fields.

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

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=false, covering the safety profile. The description adds no behavioral context beyond the mutation implied by 'Create' – notably it doesn't warn that idempotentHint=false means repeated calls may create duplicate stories, nor discuss permissions or partial-failure 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?

The opening purpose sentence is front-loaded and clear, but the subsequent Args list duplicates what the schema already states almost verbatim, adding bulk without new information. Reasonably sized yet partially 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 simple create tool with full schema coverage and annotations, the definition is minimally adequate – it names the required inputs. It omits what matters most given the crowded sibling set: why an agent should pick this over prodpad_create_idea_userstory, and what the tool returns (no output schema exists to compensate).

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

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

Schema description coverage is 100%, so the schema already documents all three parameters. The Args block merely restates those same descriptions (idea_id, story, acceptance_criteria) without adding format or constraint detail, so the baseline of 3 applies.

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

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

States a specific verb (Create) and resource (user story) plus the scope constraint (associated with an idea), so the operation is unambiguous. However, it does not distinguish itself from the overlapping sibling prodpad_create_idea_userstory, leaving the agent unable to tell the two creation paths apart.

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 guidance and no mention of the adjacent creation tools (prodpad_create_idea_userstory, prodpad_create_idea). The agent must infer from the name when this path is appropriate versus the sibling.

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

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only that contact details are included in the result, a small amount of context beyond structured data but not rich behavioral disclosure (no error behavior for missing IDs, no scope/permission notes).

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 single sentence states the operation, and the extra Args block is short. However, that block duplicates the schema verbatim and adds no information, so it does not fully earn its place.

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

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

For a simple single-parameter read tool with full annotation coverage and no output schema, the description covers what is needed to invoke it. The remaining gap is the lack of routing guidance toward sibling list/get tools, which is a usage concern more than a completeness one.

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

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

Schema description coverage is 100% and the only parameter is already documented as 'The resource ID (numeric or UUID)'. The description's Args block merely restates this, adding no new syntax or format meaning. Baseline 3 applies when the schema does the heavy lifting.

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 (feedback) plus the lookup key (by ID) and a hint at the returned content (contact details). It does not distinguish itself from sibling prodpad_list_feedback or prodpad_get_feedback_ideas, but the singular 'a specific piece' implies single-record retrieval.

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 prodpad_list_feedback (to find IDs) or prodpad_get_feedback_ideas. There are no prerequisites or context clues about the workflow that produces a valid feedback ID.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond that — no return shape, pagination, ordering, or empty-result behavior — so it contributes no behavioral context of its own.

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 compact args block; nothing is padded. The args section largely duplicates the schema but stays short enough not to be wasteful.

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 one-parameter read with full schema coverage and complete annotations, the essentials are present. However, with no output schema, the description should say at least something about what comes back (a list of ideas, possibly empty), which it omits.

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

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

Schema description coverage is 100% and there is a single parameter, so baseline is 3. The description restates the param as 'Feedback ID (numeric)', which is marginally useful but also slightly inconsistent with the schema's 'numeric or UUID' wording.

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: retrieving ideas linked to a given piece of feedback. It distinguishes the 'linked to feedback' relation from generic idea retrieval, though it does not name the closest sibling (prodpad_get_initiative_ideas) that performs the analogous traversal for initiatives.

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 prodpad_list_ideas, prodpad_get_idea, or prodpad_get_initiative_ideas. The only implicit signal is that a feedback ID is required, which the schema already enforces.

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

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds only 'full details' as a behavioral signal and says nothing about error behavior for unknown IDs. No contradiction with 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?

Two short lines, front-loaded with the purpose; the 'Args' block is redundant with the schema but harmless and very brief. No wasted prose.

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

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

For a simple single-param read tool with strong annotations, this is close to adequate, but with no output schema the description could say what 'full details' actually contains (fields returned, nesting). That gap leaves the agent guessing about the response 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?

Only one parameter and schema description coverage is 100%, so the schema already documents the ID format ('numeric or UUID'). The description repeats that same format hint rather than adding new semantics, so baseline 3 applies.

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

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

States a specific verb (Get) and resource (idea) with a scoping qualifier ('by ID'), which distinguishes it from prodpad_list_ideas and prodpad_create_idea. It does not, however, explicitly name the sibling it complements (e.g., prodpad_get_idea_userstories for related data).

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 says to use an ID but gives no when-to-use guidance, no prerequisites (e.g., where the ID comes from), and no mention of alternatives such as list_ideas or search. Usage is only weakly implied by 'by ID'.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered there. The description adds nothing beyond that — no pagination behavior, no ordering, no note on what happens for an idea with no stories — so it contributes essentially no behavioral context.

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

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

One purpose sentence front-loaded, followed by a compact Args block — nothing padded. The Args block partially duplicates the schema but stays short enough not to be wasteful.

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 one-parameter read tool with annotations covering safety, the definition is minimally viable. With no output schema, it should ideally hint at the returned user-story shape or pagination, and it does not.

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

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

Schema description coverage is 100%, so the schema already documents the single parameter, making 3 the baseline. The description's 'Numeric ID of the idea' is actually narrower than the schema's 'numeric or UUID', adding no new meaning and slightly understating accepted formats.

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

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

States a specific verb and resource ('Get a list of user stories') with the scoping qualifier 'associated to an idea', which separates it from the generic prodpad_list_userstories sibling. It does not name that sibling explicitly, so the differentiation is implied 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?

Usage is only implied by the name and phrase 'associated to an idea' — the agent can infer this returns the child collection of a specific idea. There is no explicit when-to-use guidance, no exclusions, and no pointer to prodpad_list_userstories as the unscoped alternative.

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

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds only 'full details', which hints at completeness of the payload but discloses nothing about return shape, error behavior for unknown/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?

The purpose sentence is front-loaded and waste-free. The 'Args:' block duplicates what the input schema already states, which is mild redundancy but harmless for a one-parameter tool.

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

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

For a simple single-ID getter with full annotation coverage, the description is adequate: an agent knows it reads one initiative by identifier. The only gap is that no output schema exists and the description does not characterize what 'full details' includes.

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

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

Schema description coverage is 100% and the single parameter is already documented as 'The resource ID (numeric or UUID)'. The description merely restates that, adding no new format or constraint details. Baseline 3 applies when the schema carries the parameter burden.

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 full details for a specific initiative by ID.' An agent can distinguish this from prodpad_list_initiatives by the singular 'specific initiative' framing. It does not, however, explicitly name the sibling list/get-parts tools the way a 5 would.

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

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

There is no guidance on when to use this versus prodpad_list_initiatives, prodpad_get_initiative_ideas, or prodpad_search. The reader must infer that a known ID is the precondition from the parameter list alone.

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

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds only the 'all ideas linked' scope, but says nothing about permissions, pagination, or result size. With annotations carrying the load, the added value is modest.

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

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

One front-loaded sentence stating the purpose, followed by a brief arg. No filler; every line earns its place.

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

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

For a single-parameter read tool whose annotations already convey safety and idempotency, the description is nearly sufficient. It omits return shape and whether results are paginated, but with no output schema and a trivial surface this 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 coverage is 100% and the schema already documents the id as 'The resource ID (numeric or UUID)'. The description's only addition is clarifying it is specifically an Initiative ID rather than a generic resource ID, a marginal gain. Baseline 3 applies.

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

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

States a specific verb+resource ('Get all ideas') with a scoping qualifier ('linked to a specific initiative'), which distinguishes it from siblings like prodpad_get_initiative and prodpad_list_ideas. It does not name those siblings explicitly, so it falls short of a 5.

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

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

There is no guidance on when to use this tool versus prodpad_get_idea, prodpad_list_ideas, or prodpad_get_initiative. The scoping phrase implies usage but no alternatives or exclusions are stated.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, covering the safety profile. The description adds no behavioral context beyond that — no note about auth scope, not-found behavior, or what is returned.

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

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

Two short, front-loaded lines with no padding. The Args block duplicates the schema's id description, a minor redundancy, but overall the text 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?

For a single-parameter read tool whose annotations cover the safety profile, this is minimally adequate. No output schema exists and the description does not indicate the return shape, but the simplicity of the tool keeps the gap small.

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

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

Schema description coverage is 100%, so the id parameter is already fully documented (including that it may be numeric or UUID), which the description's restatement adds nothing to. Baseline 3 applies when the schema does the heavy lifting.

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 (key result) scoped by ID, which lets an agent separate it from the list_* siblings. However it does not explicitly distinguish itself from other get-style siblings like get_objective or get_product, so it falls short of a 5.

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

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

There is no guidance on when to use this versus prodpad_list_keyresults, prodpad_get_objective_keyresults, or prodpad_get_product_keyresults. The verb 'get' combined with 'by ID' implies the fetch-one use case, but the description never states it or names alternatives.

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

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds that the response bundles key results, which is useful beyond the annotations, but says nothing about error behavior for a missing/invalid 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?

Very short and front-loaded: the operation is stated first, followed by a compact args block. The args block largely duplicates the schema, but the overall size is appropriate with no padding.

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

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

For a single-object getter with no output schema, the description conveys what comes back (the objective plus its key results). It is nearly complete; only error/not-found behavior and the overlap with get_objective_keyresults remain 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 100%, so the id parameter is already documented as numeric or UUID. The description restates it as an 'Objective UUID', which is actually narrower than the schema and adds no real meaning. Baseline 3 applies.

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

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

States a specific verb (Get) and resource (objective by ID), and adds that key results are included. This clearly differentiates it from prodpad_list_objectives, but it does not explicitly distinguish itself from the similarly-scoped prodpad_get_objective_keyresults sibling.

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 or prerequisites are given. It implies the caller must already have an ID, but never says when this is preferable to prodpad_list_objectives or prodpad_get_objective_keyresults, which both overlap in 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, idempotentHint, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds no behavioral context beyond that: no ordering, no emptiness behavior when an objective has no key results, no permissions note.

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 one-sentence purpose followed by a compact args block; nothing is padded. The args block is somewhat redundant against the schema, which keeps it short of 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?

For a one-parameter read getter with full annotation and schema coverage, the definition is minimally sufficient. It leaves unresolved which key-result query tool to choose among the siblings and gives no hint about return shape, which matters since there is no output schema.

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

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

Schema description coverage is 100% and there is a single parameter, so the schema already documents 'id' as 'The resource ID (numeric or UUID)'. The description merely repeats the parameter name and calls it an 'Objective UUID', adding no syntax or format detail — baseline 3 applies when the schema does the heavy lifting.

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 (key results) scoped to a parent objective, which is more than a restatement of the name. However, it does not distinguish itself from close siblings prodpad_get_product_keyresults and prodpad_list_keyresults, so an agent cannot tell from the description alone which of the three 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 guidance, no exclusions, and no mention of the alternative tools that also return key results (by product, or unfiltered). The only usage signal is implicit in the name and the required 'id' argument.

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

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered structurally. The description adds nothing beyond that—no note on what a missing ID does, what fields are returned, or how the product relates to roadmaps/keyresults siblings.

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 single sentence with no filler, but the 'Args:' block merely duplicates the input schema rather than earning its place. Still compact and easy to scan.

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 one-parameter read tool with no output schema, the definition is minimally adequate, but it never says what 'details' are returned or how this product relates to roadmaps, keyresults, or initiatives. An agent cannot anticipate the response 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 coverage is 100%, so the baseline is 3; the description only restates the single parameter. It is slightly less accurate than the schema, calling the ID 'numeric' while the schema allows 'numeric or UUID'.

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 (product) plus the retrieval key (by ID), so the agent knows this fetches a single product rather than a collection. It does not explicitly name prodpad_list_products as the alternative, so it falls short of a 5.

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

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

There is no statement of when to use this tool versus prodpad_list_products or the other get_* siblings; the single-retrieval intent is only implied by 'a specific product by ID'. No prerequisites, no exclusions, no alternative 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, idempotentHint, and destructiveHint=false, so the safety profile is fully covered. The description adds nothing about pagination, return shape, or truncation behavior, so it earns only the baseline for a well-annotated read 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?

Front-loaded single sentence with an Args block that is short and to the point. The Args section largely duplicates the schema, costing a little, but nothing is padded or redundant at length.

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

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

For a simple read-only, single-parameter tool with rich annotations and a complete input schema, the description covers what is needed to invoke it correctly. It lacks only optional depth (return format, pagination), which is minor here.

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

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

With 100% schema description coverage and a single parameter, the schema already documents 'id'. The description restates it as 'Product UUID', which is slightly narrower than the schema's 'numeric or UUID' but adds no new meaning; baseline 3 is appropriate.

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

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

States a specific verb and resource — 'Get all key results linked to a specific product' — which is clearly distinct from siblings like prodpad_get_keyresult (single) and prodpad_get_objective_keyresults (by objective). It does not explicitly call out those siblings, but the scope 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?

No when-to-use guidance, prerequisites, or routing to alternatives is offered. The agent must infer from the name alone that this is the product-scoped variant rather than the objective-scoped or single-keyresult tools.

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

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds one behavioral detail beyond them — that the result is limited to 'active cards' — but says nothing about response shape or pagination.

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?

Very short and front-loaded, with the purpose in the first sentence. The 'Args:' line largely duplicates what the schema already provides, which is minor waste but not harmful.

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 one-parameter read tool with annotations and no output schema, the description is adequate but thin: it hints at 'active cards' yet never indicates what the roadmap payload contains, which is the kind of detail a description must carry when no output schema 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?

Schema coverage is 100% and there is a single parameter, so the baseline is 3. The description clarifies the id is a 'Product ID (numeric)', which sharpens the schema's generic 'resource ID' wording slightly, but adds no further constraints.

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

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

The description states a specific verb and resource (get the roadmap for a specific product) and adds a scoping qualifier (active cards). It is clear what the tool returns, though it does not explicitly distinguish itself from siblings like prodpad_list_roadmaps or prodpad_get_roadmap.

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 prodpad_list_roadmaps or prodpad_get_roadmap, and no prerequisites or exclusions are stated. Usage must be inferred entirely from the name and the 'specific product' 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?

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered without the description. The description does add one genuinely useful behavioral detail beyond the annotations: the response includes columns and only the *active* cards, which hints at filtered/partial content. It says nothing about pagination, permissions, or error behavior when the ID is invalid.

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

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

The purpose sentence is front-loaded and free of filler, and the length is appropriate for a simple single-parameter fetch. The trailing 'Args:' block duplicates the schema field and is the only slightly redundant element.

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

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

With no output schema, the description carries the burden of conveying return content, and it does so adequately by naming the included columns and active cards. For a low-complexity single-parameter read tool with full annotation coverage, an agent has enough to call it correctly.

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

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

Schema description coverage is 100% and there is only one parameter, so the schema already documents it. The description's 'id (string): Roadmap ID (numeric)' merely restates the schema (which even allows UUIDs, so the 'numeric' note is slightly narrower than the actual contract) and adds no real meaning.

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

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

The description states a specific verb and resource ('Get a specific roadmap by ID') and scopes the payload ('with its columns and active cards'). It implicitly distinguishes itself from prodpad_list_roadmaps and prodpad_get_product_roadmaps by being the single-item fetch by ID, but it 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 guidance on when to use this tool versus the sibling list/filter tools (prodpad_list_roadmaps, prodpad_get_product_roadmaps), nor any stated prerequisites such as needing a valid roadmap ID. Usage is only implied by the tool name and the single required parameter.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered structurally. The description adds the OR-logic for tags and the enum semantics for state, which is useful. But it doesn't clarify pagination edge cases, total counts, or return shape. With annotations carrying the safety burden, 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?

Single front-loaded sentence followed by a compact args list. Efficient and easy to scan. The args list duplicates schema information to some degree, but the structure remains clear.

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

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

For a 7-parameter list tool with no output schema, the definition covers filters and pagination, which is adequate for invocation. But with no output schema, the description should ideally note the return structure or pagination metadata. It is a minimum viable definition.

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

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

Schema description coverage is 100%, so the schema already documents each parameter. The description largely repeats the schema's parameter documentation. Only minor additions: explicit defaults in prose and 'OR logic' for tags, which the schema also states. Baseline 3 applies when schema already documents everything.

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 ('List feedback in ProdPad') with scope (optional filters and pagination). However, it does not differentiate itself from the sibling prodpad_get_feedback or prodpad_search, so an agent must infer the distinction between 'list' and 'get/search'.

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

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

The description implies usage through its filters, but never states when to use this tool versus alternatives such as prodpad_get_feedback (single item) or prodpad_search. No explicit when-not guidance 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, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The description adds only the defaults for page/size and the OR logic for tags, which is modest additional behavioral context.

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

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

Front-loaded one-line purpose followed by a tight argument list; no filler sentences. Slightly redundant with the schema but efficient overall.

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 read-only list tool with full annotation coverage and a fully described schema, the definition is nearly sufficient. It does not mention the shape of the paginated response (e.g. total counts or cursors), but with no output schema that gap is small.

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

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

Schema description coverage is 100%, so the schema already documents every parameter including defaults, the max-100 cap, and the state enum. The description largely restates those parameters without adding syntax or format meaning beyond them.

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

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

States a specific verb and resource ('List ideas in ProdPad') plus the scoping context of filters and pagination. It would be a 5 if it distinguished itself from prodpad_get_idea or prodpad_search, which are the closest siblings 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?

The description names the available filters but gives no guidance on when to use this tool versus prodpad_search or prodpad_get_idea, and no prerequisites. The only routing hint (prodpad_list_statuses for status values) lives in the schema, not the description.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds only that results are paginated; it says nothing about ordering, total-count behavior, or how empty pages behave, which would be genuine extra behavioral 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?

The lead sentence is short, front-loaded and carries the whole point. The trailing Args block is redundant with the schema and costs a few lines without adding information, which keeps it just short of 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?

For a simple read-only paginated list with a fully described schema and complete annotations, the definition covers what an agent needs. No output schema exists, so not describing the returned initiative fields is acceptable, though a one-line note on the result shape or ordering would close 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?

Schema description coverage is 100% and both parameters carry names, defaults and bounds (minimum 1, maximum 100), so the schema already documents them fully. The Args block merely repeats the same defaults with no added meaning or interaction notes; baseline 3 applies.

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

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

States a specific verb and resource ('List all initiatives in ProdPad') and adds the pagination scope. It is clearly distinct from prodpad_get_initiative (singular fetch) and the other prodpad_list_* tools, though it never names a sibling to route the agent 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?

The description offers no when-to-use guidance, no exclusions, and no mention of alternatives such as prodpad_get_initiative or prodpad_search. The only contextual hint is that results are paginated, which is a mechanics note rather than 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, idempotentHint, and non-destructive, so the safety profile is covered. The description adds only the existence of product/portfolio scoping, with no note on pagination, return volume, or default (unfiltered) 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?

Front-loaded summary sentence is efficient, but the trailing Args block is pure duplication of the input schema and does not earn its space.

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-required-parameter list tool with no output schema, the description is minimally adequate. It omits what is actually returned and whether the two flags are mutually exclusive, which an agent would want before calling.

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

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

Schema description coverage is 100%, so the schema fully documents both booleans. The description merely restates them ('Product-level only', 'Portfolio-level only') with no added meaning, fitting the baseline of 3.

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 (key results) plus the filterable dimension. However, it does not distinguish itself from siblings like prodpad_get_objective_keyresults or prodpad_get_product_keyresults, leaving ambiguity about when a global list is preferred.

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

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

No guidance on when to use this tool versus the several sibling key-result tools (get_keyresult, get_objective_keyresults, get_product_keyresults). The two boolean flags are explained only mechanically, not as usage conditions.

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

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds one useful trait beyond that — that objectives are returned with their key results embedded — but says nothing about pagination limits, ordering, or empty-result 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?

Two short sentences, front-loaded with the object being listed and followed by the payload shape. Nothing is padded 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 parameterless read-only list tool whose annotations cover the safety profile, the description is nearly sufficient and even notes the nested key-results payload despite the absence of an output schema. Pagination or result-size expectations are the only notable omission.

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?

Zero parameters, so the baseline is 4; there is no parameter syntax for the description to 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 (objectives) and clarifies the OKR synonym, which helps disambiguate naming. It implicitly separates 'list all' from the singular prodpad_get_objective, though it never names 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?

The word 'all' implies a bulk-retrieval use case versus prodpad_get_objective for a single item, but there is no explicit when-to-use or when-not-to guidance and no mention of alternatives such as prodpad_list_keyresults or prodpad_get_objective_keyresults.

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

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is fully covered externally. The description adds only that grouping is optional and defaults to false, and says nothing about pagination, result size, or ordering.

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 plus an Args block; the purpose is front-loaded and there is no filler. The Args section mildly duplicates the schema description but costs almost nothing.

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-required-parameter, read-only list tool with annotations covering the safety profile and no output schema, the definition is sufficient to invoke correctly. Only return-shape details (ordering, pagination) are absent, which is minor here.

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

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

Schema description coverage is 100% and the single parameter is documented identically in both schema and description, so the description adds no meaning beyond the structured field. Baseline 3 applies when the schema does the heavy lifting.

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 products in ProdPad') plus an optional scope modifier (group by product line). It is distinguishable from prodpad_get_product by the 'all' scope, though it never names the sibling 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 guidance on when to use this versus prodpad_get_product, prodpad_search, or the various scoped list tools. Usage is only implied by the verb 'List' and the fact that it is a simple enumeration endpoint.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds useful context about what is returned (names, IDs, associated products), but says nothing about pagination, result limits, or ordering, which matters for an unbounded 'list all' operation.

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

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

Two short sentences, front-loaded with the operation and followed by the return payload. Zero filler and no repetition of the title.

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

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

With annotations covering safety and no output schema, the description adequately says what comes back. The only gap is lack of detail on pagination/volume for an unfiltered list-all tool, which would matter at scale but is minor given the zero-parameter surface.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; schema coverage is 100% by definition. Baseline 4 applies for a parameterless 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 roadmaps in ProdPad') and enumerates the returned fields, so the agent knows exactly what this tool retrieves. It does not, however, differentiate itself from sibling tools like prodpad_get_roadmap or prodpad_get_product_roadmaps, which is a missed opportunity in a dense roadmap-related sibling set.

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 prodpad_get_roadmap (single roadmap) or prodpad_get_product_roadmaps (roadmaps for one product). The agent must infer from the name alone that this is the unscoped, fetch-everything variant.

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

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and non-open-world, so the safety profile is covered. The description adds that the return value is a set of IDs consumed by idea filtering/status-setting, which is mildly useful context but no additional behavioral traits beyond what annotations and the tool name imply.

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

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

Two short sentences, front-loaded with the action and followed by the practical use of the result. No filler or repetition of the title.

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

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

With no parameters, no output schema and full annotation coverage, the description gives enough for correct invocation and tells the agent what the returned IDs are for. A brief note on the shape of returned items would fully close the gap, but nothing essential is missing.

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 description correctly indicates a plain enumeration with no filtering arguments. Baseline of 4 applies for a parameterless 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 idea workflow statuses in ProdPad') with clear scope. No sibling tool covers status listing, so an agent can distinguish it immediately from the many list_/get_ siblings.

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

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

The second sentence gives concrete downstream usage ('Use these IDs when filtering ideas or setting idea status'), which tells the agent why it would call this tool. It stops short of naming an alternative or a when-not condition, but the guidance is clear and actionable.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, covering the safety profile. The description adds that the returned IDs are useful for filtering and tagging, which is helpful context, but it does not disclose return format, ordering, or pagination 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?

Two short sentences with no wasted words. The core purpose is front-loaded, and the follow-up usage note is also compact.

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 no-parameter list tool with rich annotations, the description covers purpose and intended use of the IDs. It does not describe the return shape or whether all tags are always returned, but given the low complexity and annotation coverage, it is nearly 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?

This tool has zero parameters, so there is nothing for the description to clarify beyond the schema. The 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 specific verb and resource: 'List all tags in ProdPad.' It distinguishes the tool from sibling list tools (products, ideas, feedback, etc.) by naming the resource tag, so an agent can identify 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?

It gives clear context for when to use the tool: 'Use these IDs when filtering or tagging ideas, feedback, etc.' This tells the agent the purpose of the returned IDs, though it does not explicitly name alternatives or when not to use it.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and non-destructive, so the safety profile is covered. The description adds no behavioral context of its own — no pagination, result-size limits, or ordering — which is the main unknown for an account-wide list call.

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

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

The lead sentence is front-loaded and short, but the Args block is pure duplication of the input schema with no added value, which dilutes the definition without costing much length.

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 three-optional-filter list tool with no output schema and full annotation coverage, this is minimally viable. It still omits pagination/result-cap behavior, which an agent needs to know before issuing an unfiltered account-wide list.

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

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

Schema description coverage is 100%, so the baseline is 3. The Args block restates the schema descriptions verbatim, adding no new meaning such as expected ID formats, URL matching semantics, or whether filters are ANDed.

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 user stories') plus the scope ('across the account'), which distinguishes it from the get/create/update userstory siblings. It does not explicitly differentiate from prodpad_get_idea_userstories, but the account-wide scope is clear.

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

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

The description notes filters are optional but gives no when-to-use guidance, no conditions for choosing it over prodpad_get_idea_userstories or prodpad_search, and no exclusions. The agent must infer the routing itself.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and non-destructive, so the safety profile is fully covered. The description adds only the cross-entity scope; it says nothing about result shape or pagination behavior beyond what the schema exposes.

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 with the purpose in the first sentence, and the Args block, while largely redundant with the schema, is compact and scannable. No wasted prose.

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

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

No output schema exists, and the description never indicates what a cross-entity search returns (mixed result types, ordering, etc.). With annotations and 100% schema coverage the basics are covered, but the return contract is 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 100%, so the schema already documents all four parameters including the type enum. The description's Args block repeats that information without adding format or syntax meaning, so baseline 3 applies.

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

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

States a specific verb (Search) and the four cross-entity resources it spans (ideas, feedback, products, personas), which distinguishes it from the many per-entity list/get siblings. It stops short of explicitly contrasting itself with tools like prodpad_list_ideas.

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 reach for a cross-entity search versus the numerous prodpad_list_* and prodpad_get_* siblings. The multi-type scope is implied by the description but no alternative or exclusion is stated.

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

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond that: it does not say whether this is a partial update (unspecified fields preserved) or a full replacement, nor what the response contains.

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

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

The opening sentence is front-loaded and efficient, but the Args block duplicates the schema text word-for-word and therefore does not earn its place. Redundant rather than harmful.

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

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

For a mutation tool with no output schema, the description omits update semantics (partial vs. full), error/not-found behavior, and permission requirements. Annotations cover idempotency and non-destructiveness, leaving the description only minimally adequate.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters. The Args block restates the schema descriptions verbatim, adding no format, constraint, or behavioral detail beyond what structured data provides.

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

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

States a specific verb and resource ('Update ... an existing user story'), which distinguishes it from the create_userstory and create_idea_userstory siblings. The phrase 'content or workflow' is slightly loose since no workflow/status parameter exists, but the core 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?

There is no guidance on when to use this versus prodpad_create_userstory, prodpad_create_idea_userstory, or prodpad_list_userstories. No prerequisites (e.g., the story must already exist, required permissions) are stated.

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