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annotate_interval

Attach participants or a note to an existing interval to add context after the fact. Enhance effort tracking by linking relevant details to your recorded time intervals.

Instructions

Attach meeting participants or a note to an interval after the fact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
effortYes
externalNo
internalNo
intervalYes
participantsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordedYes
identifierYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states that the tool attaches participants or a note after the fact, but it does not mention side effects, permission requirements, whether the operation is reversible, or how it interacts with existing data. For a mutation tool, this is insufficient.

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?

The description is a single, well-structured sentence that conveys the core action efficiently. It is not bloated, but it sacrifices necessary detail for brevity. The structure is front-loaded with the verb and resource, which is appropriate for quick scanning.

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 six parameters, two required, and no annotations, the description is incomplete. It does not explain the required parameters or the roles of external and internal, and it assumes the agent understands what an 'interval' is in this context. The presence of an output schema helps, but the description alone leaves too much to inference.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It mentions 'meeting participants' and 'note', which map to the participants and note parameters, but it provides no meaning for the required parameters 'effort' and 'interval', nor for 'external' and 'internal'. Agents are left guessing about the purpose of half the parameters.

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?

The description states a specific verb ('attach') and resource ('interval'), and clarifies it is a post-hoc action ('after the fact'). It also names two of the key entities (participants, note). However, it does not differentiate from sibling tools like repair_interval or start_effort, so an agent might not know which to pick without further exploration.

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 is given on when to use this tool versus alternatives. There is no mention of prerequisites, disambiguation from siblings, or conditions that make this tool the right choice. The agent must infer usage entirely from the tool name and schema.

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

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