directiq_contact_count
Get the total number of contacts in the account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the total number of contacts in the account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety and side-effect profile is fully covered structurally. The description adds only the account-wide scope ('in the account'), and does not say what the count reflects (e.g. included/excluded statuses) or the return type, which is a minor gap given the annotation coverage.
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?
A single front-loaded sentence with zero filler. Nothing could be removed without losing meaning.
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 zero-parameter, no-output-schema tool with complete annotations, this is nearly sufficient. A brief note on what the returned count represents (or that it returns an integer) would close the only remaining gap.
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 takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The phrase 'in the account' correctly signals there is no filtering input.
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?
States a specific verb ('Get') and resource ('total number of contacts in the account'), making the aggregate-count purpose clear. It does not, however, distinguish itself from siblings like directiq_list_contacts or directiq_account_overview, which an agent could plausibly confuse it with.
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?
Usage is only implied: an agent can infer this is the lightweight counting alternative to directiq_list_contacts, but the description never says so or states when not to use it. No prerequisites or alternative routing are given.
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.