driverfile

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

With no annotations, the description carries the burden of disclosure. It clearly states the output is CSV text and lists the exact fields (driver, item, due date, status, chase history), indicating a read/export operation with no side effects. It does not mention authentication or potential performance concerns, but for a zero-parameter export, the provided detail is adequate.

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 sentence of 17 words, front-loaded with the verb 'Export', and efficiently conveys the resource, format, and content list. Every word earns its place with no redundancy or filler.

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

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

Given the tool has 0 parameters and no output schema, the description must cover both purpose and return. It specifies the return format as CSV text and the content categories. The word 'full' suggests completeness, though it does not explicitly mention pagination or live vs. cached data, so it is not a perfect 5.

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 has zero parameters, so the baseline of 4 applies per the rubric. The schema is trivially complete, and no parameter descriptions are needed.

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

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

The description uses the specific verb 'Export', names the resource 'driver qualification file report', and specifies the output format 'CSV text' along with the included fields. This clearly distinguishes it from sibling tools like get_dq_summary and get_items_due which suggest more focused or summarized views.

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

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

The phrase 'full driver qualification file report' implies this is for complete data export, which provides clear context relative to the more granular sibling tools. However, it does not explicitly name alternatives or state when not to use this tool, so it stops short of a 5.

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

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

With no annotations, the description must carry the safety/behavior burden; it clearly indicates a read-only 'get' operation and what data is returned. However, it does not disclose whether the summary is precomputed, whether it requires special permissions, or the exact response structure.

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

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

Single focused sentence, front-loaded with the verb and resource, and efficiently enumerates the summary categories without wasted words.

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-parameter, no-output-schema tool, the description contains the essential information: the resource and the list of totals returned. It stops slightly short of describing the response format, but that is a minor gap given the simplicity.

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

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

The schema has zero parameters, so the baseline is 4. The description adds value by detailing which summary metrics are included, leaving no parameter semantics to clarify.

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 precise resource ('driver qualification file summary'), listing the six tracked categories. This clearly distinguishes it from sibling tools that export reports or list individual items.

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?

Description implies the tool is for high-level summary totals rather than individual DQ item details, but it never explicitly states when to choose this over siblings like get_items_due or export_dq_report. No exclusions or alternative pointers are 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?

No annotations are provided, so the description must carry the behavioral load. It discloses the default look-ahead window (30 days) and the categories of items included, which provides useful context beyond the tool name. However, it does not explicitly state read-only status, return format, or whether overdue items are excluded, leaving some ambiguity.

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, compact sentence that front-loads the action and key scope ('List DQ file items coming due within the next N days'), followed by illustrative examples. Every word contributes to understanding; no filler or redundancy.

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

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

For a tool with one optional parameter, no output schema, and no annotations, the description covers the essential information: what is listed and the default window. It does not elaborate on edge cases (e.g., what 'due' means exactly) but is adequate for straightforward invocation. Sibling distinctions are also somewhat clear from the description alone.

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

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

The input schema provides 100% coverage, including the 'days' parameter and its default value. The description repeats the default but adds no additional meaning (e.g., accepted range, behavior when omitted). Therefore the description adds no significant value beyond the schema, hence baseline 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?

The description uses a specific verb ('List') with a concrete resource ('DQ file items') and a scoped criterion ('coming due within the next N days'). It also lists examples of items (medical cards, MVR reviews, Clearinghouse queries), making its purpose distinct from sibling tools such as get_dq_summary or search_dq_items.

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 usage context is implied by the phrase 'coming due'—an agent can infer this tool is for upcoming deadlines—but there is no explicit guidance on when to prefer this over alternatives like search_dq_items or get_dq_summary. No exclusions or when-not-to-use scenarios are mentioned.

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

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

With no annotations, the description carries the full burden. It discloses that the tool lists missing/out-of-date items and orders them by severity. The verb 'List' implies a read operation, and the criteria + sort order are valuable behavioral details. It doesn't explicitly state read-only or describe pagination, but for a zero-parameter list tool this is adequate.

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, focused sentence. It front-loads the verb and resource, adds a clarifying example of what constitutes a finding, and ends with the sort order. Every word earns its place with no redundancy.

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

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

For a zero-parameter, no-output-schema tool, the description is nearly complete. It explains what is listed, the inclusion criteria, the regulatory context, and the ordering. It might benefit from examples or definitions of 'out of date', but the current description is sufficient for an agent to understand the tool's purpose and invoke it successfully.

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

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

There are 0 parameters, so the baseline is 4. The description adds no parameter-specific semantics, but none are needed. The empty schema confirms no parameters exist, and the description's scope definition effectively covers the input space.

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 uses a specific verb ('List') and resource ('driver qualification file items'), and clearly defines the scope: items that are missing or out of date, which would be findings in a DOT compliance review. It also states the sort order ('Most serious first'), fully distinguishing it from sibling tools like get_items_due or search_dq_items.

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

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

The description gives clear context for when to use this tool: to identify driver qualification file issues that would constitute DOT compliance review findings. Though it doesn't name alternative tools or explicitly exclusions, the context is specific enough for an agent to select it over siblings for audit-risk listing.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose that the tool returns matching records with due date and status, and it enumerates the possible status values, which is useful. However, it omits behavioral details like case sensitivity (only in the schema), pagination, result limits, or any operational constraints. For a read-only search tool, the description is adequate but not rich.

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

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

The description is two sentences, front-loaded with the purpose and followed by return-value details. It contains no filler words or redundant explanations, making it both concise and well-structured.

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

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

For a tool with one optional parameter and no output schema, the description is fairly complete. It explains the search criteria and the return value's key fields (due date and status). It could go a step further and mention that the returned records also include the driver/item identity, but that is reasonably implied by the search context. Overall, it provides enough context for a simple search tool.

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

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

The schema provides 100% coverage of the single parameter 'query' with a detailed description covering case-insensitivity, shorthand, and default behavior when omitted. The tool description adds that searching is by driver name or item type, which aligns with the query parameter but adds no new semantic meaning beyond the schema. Baseline of 3 is appropriate given the high schema coverage.

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 uses the specific verb 'search' with the resource 'driver qualification file items' and the criteria 'by driver name or item type,' which clearly distinguishes it from sibling tools like export_dq_report, get_dq_summary, get_items_due, and list_audit_risks. It explicitly states the action and the target, leaving no ambiguity about the tool's purpose.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions or name any sibling tools, and while the word 'search' implies a lookup use case, there is no explicit or implicit context about when this is preferable to, say, get_items_due or export_dq_report. This is a clear gap.

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