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

Annotations already declare readOnly, idempotent and openWorld behavior, so the safety profile is covered. The description adds nothing beyond them — no mention of what auto_dates does, how the date range interacts with period granularity, or what shape the returned dynamics take, despite a mutation-free but non-trivial query.

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 terse sentence with no wasted words and no burying of key information. However, the brevity comes at the cost of under-specification rather than efficiency, since almost no useful content is delivered.

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 7 parameters, zero schema descriptions, and defaulting/auto_dates behavior that directly changes results, the description is far too thin. The presence of an output schema removes the need to explain return values, but the input-side gaps remain severe.

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

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

Schema description coverage is 0% across 7 parameters, so the description carries the full burden and largely fails: only the period granularity is echoed, which is already fully specified by the schema enum. auto_dates, devices, region_ids, and the from/to date pair are left entirely unexplained.

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

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

The description names the resource ('Wordstat demand dynamics') and indicates period granularity, which loosely distinguishes it from siblings like wordstat_top_requests and wordstat_regions. But it contains no verb (fetch/retrieve) and 'demand dynamics' is jargon that doesn't explicitly say it returns a time series of search volume.

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 tools, nor any mention of prerequisites such as needing a phrase or region context. The agent must infer the use case entirely.

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 that the tool is read-only, idempotent, non-destructive, and open-world. The description adds useful context that the lookup is local and supports exact or substring name matching, but it does not explain child expansion behavior, parent scoping, result limits, or what the output 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 description is a single front-loaded sentence with no wasted words. It gets directly to the resource, locality, and matching mode.

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?

Because an output schema exists, the description need not explain return values. But for a five-parameter lookup tool with child-related and parent-related options, the description is too sparse: it leaves the agent unable to determine how include_children, children_depth, and parent_region_id affect behavior.

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

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

Schema description coverage is 0%, and there are five parameters. The description clarifies only the query matching behavior (exact or substring); it says nothing about limit, include_children, children_depth, or parent_region_id, so most parameter semantics remain undocumented in both the schema and the description.

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

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

The description states a clear verb and resource: find Wordstat region IDs. It also specifies local exact/substring name matching, which helps an agent understand what kind of lookup this is. However, it does not explicitly contrast the tool with sibling region tools such as wordstat_regions or wordstat_regions_tree.

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

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

The description gives no guidance on when to use this tool versus wordstat_regions, wordstat_regions_tree, or other siblings. It also does not state exclusions or prerequisites, leaving the agent to infer routing from the tool name alone.

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

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description contributes the 30-day window, which is real behavioral context, but says nothing about pagination behavior, result ordering, or the size of the region dataset despite limit/offset params.

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 tight sentence with no waste, and the time scope is front-loaded. But the brevity is under-specification rather than efficiency; the sentence could have spent a few more words on the parameters that are otherwise undocumented.

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. Against six parameters with zero schema descriptions and four sibling tools with overlapping semantics, however, the description is too thin to let an agent call it confidently or choose it correctly.

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

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

Schema description coverage is 0% across six parameters, so the schema supplies only names, types, and defaults. The description does not mention phrase, limit, offset, devices, region_type, or resolve_names, leaving the agent to guess what 'resolve_names' does and whether devices accepts multiple values. Only the regional nature of the query is hinted at.

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 the resource (Wordstat demand distribution by region) and a time scope (last 30 days), which is more than a restatement of the name. However, it gives no verb and no distinguishing detail versus siblings such as wordstat_regions_tree or wordstat_find_regions, which all involve regions. An agent cannot tell why it would pick this one over the tree 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?

There is no statement of when to use this tool versus wordstat_regions_tree, wordstat_find_regions, or wordstat_dynamics. The only usable signal is the implicit 'flat list of regions' framing, which the agent must infer from the name. No prerequisites or exclusions are given.

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

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is covered. The description adds nothing further: no mention of default depth (3), maximum depth (20), behavior when root_region_id is omitted, or the shape of the returned hierarchy.

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, but it is under-specified rather than concise. There is room for one more sentence explaining the tree traversal without bloat.

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. However, for a two-parameter tree query with zero schema coverage, the description leaves traversal semantics, defaults, and sibling choice entirely unexplained.

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

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

Schema description coverage is 0% and the description does not mention either parameter. max_depth and root_region_id are reasonably self-naming, but nothing explains that max_depth caps traversal depth or that omitting root_region_id starts from the top of the tree.

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 the resource ('hierarchy of regions') but supplies no verb and no scope beyond that. It hints at a tree structure that distinguishes it from the flat sibling wordstat_regions, yet never explicitly contrasts with wordstat_regions or wordstat_find_regions.

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

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

There is no guidance on when to call this instead of wordstat_regions or wordstat_find_regions, and no mention of prerequisites or defaults. The agent must infer from the name alone that this returns a nested tree rather than a flat list.

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

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

Annotations already declare read-only, idempotent, open-world, non-destructive behavior. The description adds only the 30-day data window; it does not disclose result ordering, pagination, rate limits, or what 'associated' means in practice.

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

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

A single front-loaded sentence with no filler. It is concise, though its brevity contributes to the overall under-specification.

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 four-parameter retrieval tool with 0% schema description coverage, the description is too thin. It omits parameter guidance and sibling routing, though the existing output schema reduces the need to explain 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%, and the description mentions none of the four parameters (phrase, devices, region_ids, num_phrases). It therefore adds no meaning beyond the bare schema for any input.

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 identifies the resource as Wordstat queries and scopes them to the last 30 days, but it never states a verb and does not distinguish this tool from siblings like wordstat_dynamics or wordstat_regions. 'Popular and associated' is vague about whether it returns top queries by volume, related terms, or both.

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 is given on when to use this tool versus wordstat_dynamics, wordstat_regions, or other siblings. There are no prerequisites, exclusions, or alternative-selection cues.

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