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100Hires - AI ATS & Recruitment Software

hires_list_template_placeholders

Read-only

List available placeholders for email templates with pagination. Use type to filter by category, q to search by label. Discover placeholders here, then use hires_prepare_template_placeholders to get an HTML tag for insertion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFilter placeholders by label (case-insensitive substring match)
pageNoPage number (default 1)
sizeNoPage size (default 25)
typeNoFilter by placeholder type
company_idNoTarget company ID (uses default company when omitted)
is_notificationNoInclude notification-specific system placeholders (0 or 1, default 0)

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds value by specifying the scope (email templates) and the workflow connection, without contradicting annotations. It does not mention any additional behavioral traits, but given the annotations cover safety, this is sufficient.

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?

Two sentences, zero wasted words. The first sentence states the core purpose and pagination; the second gives filtering and workflow guidance. Front-loaded with the main action.

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

Completeness4/5

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

For a list tool with 6 parameters and no output schema, the description covers the core purpose, filtering, and integration with the sibling tool. It does not detail output format, but for a list operation the return type is typically an array, which can be inferred. The description is complete enough for effective use.

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% with descriptions for all 6 parameters. The description adds meaning by explaining the purpose of `type` and `q` filters and mentioning pagination. While it does not describe every parameter, the schema already does that, so the description provides contextual value beyond the structured schema.

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 it lists available placeholders for email templates with pagination, and distinguishes from sibling tool hires_prepare_template_placeholders by mentioning it as the next step. The verb 'list' and resource 'template placeholders' are specific and unambiguous.

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

Usage Guidelines4/5

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

The description provides explicit workflow guidance: 'Discover placeholders here, then use hires_prepare_template_placeholders to get an HTML tag for insertion.' It also suggests filtering by type and search by label. While it does not explicitly state when not to use this tool, the context is clear enough for an agent to decide.

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.