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CaseyTTS

Bullhorn MCP Agent

by CaseyTTS

get_notes

Read canonical notes and note_created events for one Bullhorn record by target type and id, or by candidate, job, contact, placement, or submission id.

Instructions

Read canonical notes (and their note_created events) for one record.

Exactly one primary scope is required: target_type + target_id, or one of candidate_id, job_id, client_corporation_id, client_contact_id, placement_id, submission_id. Only verified Bullhorn mechanisms are used; a scope or filter without one returns status "unsupported_filter" with the supported filters (it is never approximated).

Args: target_type: "candidate", "job", "client_contact", "client_corporation", "placement" or "submission". target_id: The record id for target_type. candidate_id: Primary scope: a candidate id. job_id: Primary scope: a job id. client_corporation_id: Primary scope: a client corporation id. client_contact_id: Primary scope: a client contact id. placement_id: Primary scope: a placement id. submission_id: Primary scope: a submission id. action_type: A tenant note action value (validated; never substituted). author: A Bullhorn user id or name. date_from: Inclusive ISO-8601 date or datetime with offset (a date means midnight in the reporting timezone). date_to: Exclusive ISO-8601 date or datetime with offset. include_deleted: Include deleted notes (default false). limit: Page size, 1 to 50 (default 20). start: Offset of the page (default 0).

Returns: JSON with status, notes, events, next_start, truncated and warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
startNo
authorNo
job_idNo
date_toNo
date_fromNo
target_idNo
action_typeNo
target_typeNo
candidate_idNo
placement_idNo
submission_idNo
include_deletedNo
client_contact_idNo
client_corporation_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses the one-scope-required constraint, the 'unsupported_filter' failure mode (never approximated), pagination controls, and the deleted-notes default. It stops short of covering auth/permissions or what 'canonical' implies versus raw notes.

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

Conciseness4/5

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

Front-loads the core constraint before the Args/Returns sections, which is the right structure. It is long, and the repeated 'Primary scope:' phrasing across the id parameters adds some redundancy, but the length is largely justified by 15 undocumented parameters.

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?

For a 15-parameter, zero-schema-coverage, zero-annotation tool, the description covers scoping, filter-validation behavior, pagination, defaults, and date semantics; the output schema handles return-shape detail (briefly summarized). Nothing an agent needs to invoke it correctly appears to be missing.

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

Parameters5/5

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

Schema coverage is 0%, so the description must compensate, and it documents all 15 parameters in an Args block: scope semantics, limit range 1-50, start offset, include_deleted default, inclusive date_from vs exclusive date_to (with 'date means midnight in the reporting timezone'), and validated action_type. This meaning is absent from the schema and is exactly what the description is for.

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?

States a specific verb and resource: 'Read canonical notes (and their note_created events) for one record.' It implicitly distinguishes from the sibling create_note (a write) and clarifies that note_created events are bundled in. An agent can identify the operation 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.

Usage Guidelines4/5

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

Gives a clear gating rule: 'Exactly one primary scope is required' followed by the enumerated scope forms, and explains that unsupported scopes/filters yield status 'unsupported_filter' rather than being approximated. It does not, however, route against sibling read tools like get_activity or search_entities, so no explicit alternatives are named.

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