Skip to main content
Glama
ictdialer-mcp

ictdialer-mcp

Official

Campaign summary

ictdialer_campaign_summary
Read-only

Totals for a campaign: answered, failed, human vs machine and so on. Optionally scope to one agent/user id.

Instructions

Totals for a campaign: answered, failed, human vs machine and so on. Optionally scope to one agent/user id.

Input Schema

NameRequiredDescriptionDefault
usr_idNoOptional agent/user id to scope the summary.
campaign_idYesThe campaign id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changedv0.1.1
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / campaign_id / maximum
      Added value: +9007199254740991
    • addedInput schema / properties / campaign_id / minimum
      Added value: +-9007199254740991
    • addedInput schema / properties / usr_id / maximum
      Added value: +9007199254740991
    • addedInput schema / properties / usr_id / minimum
      Added value: +-9007199254740991
  2. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the metric families returned, which is useful, but omits key behavioral facts such as the time window the totals cover (lifetime vs a period) and whether the aggregation is cached/live.

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?

Two tightly packed sentences with the core behavior front-loaded and the optional parameter note second. The trailing 'and so on' is vague filler that could have been replaced with the actual remaining metrics or the time window.

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

Completeness3/5

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

The tool is simple (one required id, one optional filter) and read-only, and there is no output schema, so the description must carry the return-shape burden. It gestures at metric names but the metric list is open-ended ('and so on') and the aggregation window is undefined, leaving real ambiguity about what the call returns.

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 description coverage is 100% and both properties (campaign_id required, usr_id optional scope) are fully documented in the schema. The description repeats the optional agent/user scoping without adding format, edge cases, or semantics beyond what the schema already states, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States the resource (campaign) and the kind of output (aggregate totals of answered, failed, human vs machine), which is enough to distinguish it from a generic list tool. It never names or contrasts itself with the close siblings ictdialer_campaign_status and ictdialer_campaign_result, so an agent must guess which of the three returns per-call records vs aggregates.

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

Usage Guidelines2/5

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

The only usage-ish statement is that the summary can be scoped to one agent/user id; there is no explicit when-to-use, no when-not-to-use, and no mention of the sibling tools that likely overlap (campaign_status, campaign_result). An agent has to infer selection criteria entirely.

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