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Glama

Log Feed

create_feed

Log a feeding entry for a baby. Accepts flexible time formats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNoWhich side (for breastfeeding)
typeYesFeed type
notesNoOptional notes (max 10,000 chars)
babyIdYesThe baby's UUID
amountMlNoAmount in millilitres (max 5000)
timestampYesWhen the feed happened: Date/time — accepts ISO 8601 ("2026-05-07T20:00:00Z"), relative ("2 hours ago", "now"), day+time ("today 3pm", "yesterday 8:30pm"), time-only ("3pm"), or date+time ("2026-05-07 8pm")
durationSecondsNoDuration in seconds

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
totalResultsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / properties / amountMl / description
      Previous value: -"Amount in millilitres"New value: +"Amount in millilitres (max 5000)"
    • addedInput schema / properties / amountMl / maximum
      Added value: +5000
    • changedInput schema / properties / notes / description
      Previous value: -"Optional notes"New value: +"Optional notes (max 10,000 chars)"
    • addedInput schema / properties / notes / maxLength
      Added value: +10000
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already indicate this is a write operation (readOnlyHint=false). The description adds a valuable behavioral insight with 'Accepts flexible time formats', which is not covered by annotations. It does not contradict annotations, but it doesn't add other behavioral context like idempotency concerns.

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?

The description is exactly two sentences, immediately states the core purpose, and highlights a key feature. There is no fluff, repetition, or extraneous information.

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 the rich schema (7 params, all described) and the presence of an output schema, the description is conceptually complete. It does not explain what happens upon success, but the output schema likely covers this. The only minor gap is not mentioning related list_feeds tool for context, but that is not essential.

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?

The schema descriptions cover 100% of parameters, including a highly detailed explanation of the timestamp parameter. The description's mention of 'flexible time formats' largely duplicates the schema's timestamp description, adding no 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 action ('Log') and the resource ('a feeding entry for a baby'), making the purpose unambiguous. It also differentiates from sibling create_* tools by specifying 'feeding', which is concrete and specific.

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

Usage Guidelines3/5

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

The description implies when to use the tool (when logging a feed), but gives no explicit guidance about when not to use it or how it compares to alternatives like list_feeds. No exclusions or alternative tool mentions are provided.

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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