Get current user
pipedrive_get_current_userGet the authenticated user's profile (name, email, company, locale, timezone). Pipedrive REST: GET /api/v1/users/me.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
pipedrive_get_current_userGet the authenticated user's profile (name, email, company, locale, timezone). Pipedrive REST: GET /api/v1/users/me.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, and the description adds the REST endpoint (GET /api/v1/users/me) and the specific data returned. It doesn't mention error handling or response format, but for a simple read-only operation this is sufficient. 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one sentence plus the REST endpoint, front-loaded with the verb and resource. Every word earns its place, and it is highly efficient.
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 0-parameter, read-only tool with no output schema, the description fully covers what the tool does, what it returns, and the underlying API. No gaps remain.
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, and the schema coverage is 100% (empty object). The description correctly adds no parameter details because none exist. Baseline for 0 parameters is 4.
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 clearly states the tool's purpose: 'Get the authenticated user's profile' and lists specific fields (name, email, company, locale, timezone). This distinguishes it from all sibling tools, which deal with deals, persons, organizations, activities, and notes.
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 implies clear usage context: use when you need the current user's profile. It doesn't explicitly exclude alternatives, but given the sibling tools cover different entities, no other tool could serve this purpose. This is clear context without formal exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource and action, with clear separation between create, get, list, and search operations. The global search tool is explicitly differentiated from entity-specific searches, and pipelines/stages/current_user are unique. No two tools appear to serve the same purpose.
Tool names follow a consistent verb_noun pattern (e.g., list_deals, get_person, create_activity), with the exception of 'add_note' using 'add' instead of 'create'. This is a minor deviation that does not cause confusion, but the inconsistency between add and create is noticeable.
At 19 tools, the server covers a broad set of CRM entities and operations, which is reasonable for the scope. While it is on the heavier side, each tool serves a distinct function and none are redundant. The count feels justified for a comprehensive CRM integration.
The server lacks update and delete operations for all entities, and there is no create operation for organizations, pipelines, or stages. This creates significant gaps that would prevent agents from modifying existing records or creating certain entities. The read and search capabilities are solid, but the lifecycle coverage is severely incomplete.