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get_sms_stats_timeseries

Retrieve SMS usage statistics over time with optional start/end dates and hourly, daily, or monthly buckets.

Instructions

SMS usage timeseries buckets. Optional from, to, bucket (hour|day|month).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoExclusive RFC 3339 end
fromNoInclusive RFC 3339 start
bucketNohour | day | month

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose what the response contains, whether the operation is read-only (though implied by 'usage stats'), or how buckets aggregate data. The schema's inclusive/exclusive details are already in the schema, so the description adds no behavioral context beyond it.

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?

A single, front-loaded sentence with no filler. It efficiently states the resource and the optional parameters. Every word earns its place.

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

Completeness2/5

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

Given the lack of an output schema and the presence of closely related sibling tools (get_sms_stats_live, get_sms_stats_summary), the description is incomplete. It neither explains the response format nor distinguishes the use case from siblings. The agent must infer when a timeseries is more appropriate than live or summary, which is a significant gap for a stats tool.

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%, so the baseline is 3. The description merely repeats the bucket enum values (hour|day|month) already in the schema, without adding new meaning about valid ranges, defaults, or interactions. It confirms the optional nature but adds little beyond the schema.

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 a specific verb and resource: 'SMS usage timeseries buckets.' This is clear and not a tautology. However, it does not explicitly differentiate from sibling tools get_sms_stats_live and get_sms_stats_summary, though the name 'timeseries' hints at the distinction.

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?

No guidance on when to use this tool versus get_sms_stats_live or get_sms_stats_summary. The description only covers parameters, not the selection context. An agent would have to infer from the name alone, lacking explicit when-to-use or when-not-to-use information.

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