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100Hires - AI ATS & Recruitment Software

hires_list_forms

Read-only

List application forms (paginated). Returns forms with their questions for the target company. Recommended size <= 10: each form embeds its full question list; if the response exceeds the budget the tool returns isError:true with error_code=response_too_large and retry hints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number.
sizeNoPage size.
viewNoResponse shape. Default `summary` omits the embedded `questions` array. Use `full` only when the full question list is needed; call hires_get_form for a single form.summary
company_idNoTarget company ID.

TDQS

A4.9/5.0
Behavior5/5

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

The description goes beyond annotations (readOnlyHint, destructiveHint) by explaining that the response can be too large and returns error_code=response_too_large with retry hints. It also details the 'view' parameter's effect on response shape. 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.

Conciseness5/5

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

The description is concise with four well-structured sentences. Each sentence adds essential information: purpose, pagination, size recommendation, view options, and error handling. No redundant or missing information.

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

Completeness5/5

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

Despite lacking an output schema, the description adequately covers what is returned (forms with questions), pagination, error case, and parameter usage. For a read-only list tool, this provides sufficient context for an agent to use it correctly.

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

Parameters4/5

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

Schema coverage is 100%, so all parameters are documented. The description adds value by recommending a maximum size of 10 and explaining the 'view' options, complementing the schema descriptions. However, the schema already contains detailed parameter descriptions, so the description's additional guidance is limited.

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

Purpose5/5

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

The description clearly states the tool 'List application forms (paginated)' and specifies it returns forms with questions for the target company. This distinguishes it from related tools like 'hires_get_form' which returns a single form.

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

Usage Guidelines5/5

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

The description provides explicit usage guidelines: recommends size <= 10 due to embedded question lists, explains the 'view' parameter and when to use 'full' vs 'summary', and directs users to 'hires_get_form' for a single form. It also describes error behavior with retry hints.

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

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TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes due to specific entity and action combinations. However, with 133 tools, there is some overlap (e.g., multiple ways to move applications) and similar-sounding operations (e.g., batch_remove_tags vs remove_candidate_tag) that could cause confusion. The detailed descriptions help but the sheer number increases ambiguity.

Naming Consistency5/5

All tools follow a consistent 'hires_verb_noun' pattern with snake_case. Verbs are descriptive (create, list, get, delete, update, batch) and nouns match the domain entities (candidate, application, job, etc.). No mixing of conventions like camelCase or inconsistent verb styles.

Tool Count2/5

133 tools is excessive for a typical server scope. While a full-featured ATS requires many operations, this count suggests insufficient aggregation. Tools for similar entities (e.g., multiple update/delete variants) could be consolidated. The high number overwhelms the tool surface and increases complexity.

Completeness4/5

The tool set covers core CRUD operations for major entities (candidates, applications, jobs, companies, users, messages, forms, etc.) plus batch operations, webhooks, and advanced features like AI scoring and nurture campaigns. Minor gaps exist (e.g., no direct reporting/analytics tools), but most workflows can be executed.