Skip to main content
Glama

set_user_cost_rate

Set the internal hourly COST rate for one member of your organization (used for profit/margin reporting). The organization is fixed by your context - never pass an organization id. You cannot set your own cost rate. The rate value is never echoed back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesId (or Firebase UID) of the member whose cost rate is being set (required). Must be a member of your organization; cannot be yourself.
currencyNoOptional ISO 4217 currency code (e.g. USD, EUR). Defaults to USD.
hourly_rateYesThe hourly cost rate, a positive number (required).
effective_toNoOptional date this rate stops applying (YYYY-MM-DD). Omit for an open-ended rate.
effective_fromNoOptional date this rate takes effect (YYYY-MM-DD). Defaults to today.
idempotency_keyNoOptional caller-supplied key; retrying with the same key returns the original result instead of acting twice.

TDQS

A4.2/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that the rate value is never echoed back, which is critical behavior. It also implies a write operation, which is clear. No contradictions.

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?

Three sentences, no fluff. The key action and constraints are front-loaded in the first sentence. Every sentence adds value.

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?

Given 6 parameters, no output schema, and no annotations, the description covers purpose, key constraints, and a behavioral trait (no echo). It lacks detail on success/failure responses but is sufficient for the agent to invoke correctly.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. The description adds marginal value by reiterating constraints like 'cannot set your own cost rate' (related to user_id) and 'never pass org id', but does not provide new meaning beyond the 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 the tool sets the internal hourly cost rate for a single organization member, using specific verb 'set' and resource 'user cost rate'. It distinguishes from sibling bulk_update_cost_rates by specifying 'one member', and from update_user_profile by focusing on cost rate.

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 context: organization is fixed (never pass org id) and self-cost-rate-setting is prohibited. This guides when to use and important constraints, though it does not explicitly name alternative tools for bulk operations.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3/5.0
Disambiguation2/5

Multiple tools have overlapping purposes, e.g., create_time_report and log_time both create a single time entry with near-identical descriptions. There are also many similar getter/list tools that blur together, making it hard for an agent to select the right one.

Naming Consistency2/5

Most tool names use snake_case, but verbs are inconsistent: 'list' vs 'get' for similar operations, 'manage' combines create/update/delete, and 'use_favorite' is an outlier. This pattern reduces predictability.

Tool Count1/5

With 114 tools, the set is extremely large and far beyond a well-scoped server (typical 3-15). This overwhelms agents and suggests many tools could be consolidated or removed.

Completeness3/5

The tool surface covers a broad domain including customers, projects, tasks, time tracking, invoicing, and user management, but there are gaps like no list_users or direct user listing, and some operations seem redundant rather than filling missing functionality.

Resources