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Glama

ShotPulled

Register a bag of coffee

register_coffee

Register a new bag of coffee beans.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eanNo
urlNo
costNo
nameYes
stateNo
originNo
ratingNo
co2e_kgNo
originsNoList of bean origin details
qr_codeNo
roasterNo
storageNo
varietyNo
archivedNo1 if archived, 0 otherwise
bean_mixNoE.g. blend details
buy_dateNoCalendar day in YYYY-MM-DD format — a day, not a timestamp
currencyNo
finishedNo1 if finished, 0 otherwise
aromaticsNo
bag_notesNo
favouriteNo1 if favourite, 0 otherwise
frozen_atNoCalendar day the bag went into the freezer, YYYY-MM-DD — a day, not a timestamp
roast_dateYesCalendar day in YYYY-MM-DD format — a day, not a timestamp
attachmentsNoJSON or comma-separated list of attachments
frozen_noteNo
opened_dateNoCalendar day in YYYY-MM-DD format — a day, not a timestamp
roast_levelYes
roast_rangeNo
unfrozen_atNoCalendar day the bag came out, YYYY-MM-DD — a day, not a timestamp
bag_weight_gNoBag weight in grams
best_by_dateNoCalendar day in YYYY-MM-DD format — a day, not a timestamp
process_typeYes
roast_customNo
decaffeinatedNo1 if decaf, 0 if regular
dial_categoryNoDialing behavior class: classic = medium/traditional espresso roasts (chocolate/nut, balanced); dark = genuinely dark/roasty; the light categories cover Nordic and ultra-light styles.
roasting_typeNo
cupping_pointsNo
frozen_storageNo
rest_window_days_maxNo
rest_window_days_minNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
bean_idYes
messageYes

Schema Changelog

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

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations provide only false hints, so the description carries most of the behavioral disclosure burden. It indicates a write/create operation but does not disclose duplicate behavior, default field values, lifecycle side effects, or whether re-registering a bag is problematic. This is thin coverage for a 40-parameter create tool.

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?

One clear, front-loaded sentence with no filler. It earns its place by stating the action and entity, though the extreme brevity means it delivers very little information relative to the tool's complexity.

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

Completeness1/5

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

For a 40-parameter create operation with only 38% schema coverage and sparse annotations, a single generic sentence is completely inadequate for correct invocation. The description does not mention required parameters, creation defaults, duplicate handling, or the meaning of registration, and the output schema does not resolve the input-side gaps.

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

Parameters1/5

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

With schema description coverage at only 38%, the description needed to orient the agent around required parameters or key bean fields. It names none of the parameters and adds no semantic meaning beyond the phrase 'bag of coffee beans', so it fails to compensate for the schema's gaps.

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?

States a specific action ('register') and a distinct resource ('bag of coffee beans'), with 'new' clarifying that this is a create operation. This is enough to tell it apart from siblings such as register_grinder, register_scale, and update_bean.

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?

Provides no guidance on when to use this tool versus update_bean or other register_* tools, and gives no exclusions or alternatives. The only usage signal is the implied 'create a new bag' meaning of the verb, which the agent must infer.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools sort cleanly into register_*, list_*, set_*, and log_* families with clear resource targets. The main ambiguity is between diagnose_shot and diagnose_preview, which are deliberately similar, and between get_dial_state and suggest_next_step, but the descriptions resolve these reasonably well.

Naming Consistency4/5

Naming is overwhelmingly consistent snake_case verb_noun, such as register_coffee, list_shots, update_shot, and set_active. Minor exceptions like kb_changelog next to get_kb_version and grinder_math break the pattern slightly.

Tool Count2/5

With 34 tools, the surface is well over the 25+ too-many threshold. The resource families are individually clear, but the assistant would be easier to navigate with fewer, more consolidated tools or less KB introspection surface.

Completeness3/5

The core dialing workflow is well covered: registration, shot logging, diagnosis, dial state, recipes, and maintenance. However, most registered entities such as grinders, machines, waters, scales, and programs have create+list but no update/delete, and recipes have no unlock/delete lifecycle.

Resources