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ShotPulled

List shots

list_shots
Read-onlyIdempotent

List shot history with support for pagination and filtering. Every shot carries a derived taste_pending flag (1 = logged with no sensory tags, no rating, and no tasted flip — the tasting is still owed and can be backfilled with update_shot).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of records to return (1-500)
offsetNoOffset for pagination
filtersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
shotsYes
totalYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / shots / items / properties / flavor_notes / type
      Previous value: -"string"New value: +[
      +  "string",
      +  "null"
      +]
  2. Changed3 schema fields changed
    • addedInput schema / properties / filters / properties / bag_id
      Added value: +{
      +  "description": "Filter by bag number (one purchase of a coffee)",
      +  "type": "integer"
      +}
    • addedOutput schema / properties / shots / items / properties / bag_id
      Added value: +{
      +  "type": "integer"
      +}
    • changedOutput schema / properties / shots / items / required
      Previous value: -[
      -  "id",
      -  "pulled_at",
      -  "bean_id",
      -  "grinder_id",
      -  "machine_id",
      -  "program_id",
      -  "grind_label",
      -  "grind_components",
      -  "grind_position_value",
      -  "dose_g",
      -  "yield_g",
      -  "time_s",
      -  "flow_rate_gps",
      -  "finish_action",
      -  "drink_intent",
      -  "flavor_notes",
      -  "sensory_tags",
      -  "observations",
      -  "temp_taste",
      -  "rating",
      -  "verdict",
      -  "data_confidence",
      -  "temperature_c",
      -  "bloom_time_s",
      -  "first_drip_time_s",
      -  "beverage_g",
      -  "tds",
      -  "ey_pct",
      -  "water_id",
      -  "vessel_name",
      -  "vessel_weight_g",
      -  "favourite",
      -  "best_brew",
      -  "tasted",
      -  "bean_name",
      -  "taste_pending"
      -]New value: +[
      +  "id",
      +  "pulled_at",
      +  "bean_id",
      +  "grinder_id",
      +  "machine_id",
      +  "program_id",
      +  "grind_label",
      +  "grind_components",
      +  "grind_position_value",
      +  "dose_g",
      +  "yield_g",
      +  "time_s",
      +  "flow_rate_gps",
      +  "finish_action",
      +  "drink_intent",
      +  "flavor_notes",
      +  "sensory_tags",
      +  "observations",
      +  "temp_taste",
      +  "rating",
      +  "verdict",
      +  "data_confidence",
      +  "temperature_c",
      +  "bloom_time_s",
      +  "first_drip_time_s",
      +  "beverage_g",
      +  "tds",
      +  "ey_pct",
      +  "water_id",
      +  "vessel_name",
      +  "vessel_weight_g",
      +  "favourite",
      +  "best_brew",
      +  "tasted",
      +  "bag_id",
      +  "bean_name",
      +  "taste_pending"
      +]
  3. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds valuable behavioral context: the taste_pending flag is derived (not stored) and explains the exact conditions that trigger it, and it notes that tasting can be backfilled via update_shot. This goes beyond the annotations and helps the agent understand the data semantics.

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 a single, focused sentence that front-loads the core purpose ('List shot history with support for pagination and filtering') and then adds a useful parenthetical clarification about the derived flag. There is no wasted wording, and the structure is efficient.

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?

The tool has pagination, filters, and nested objects, and it has an output schema (so return format is covered elsewhere). The description covers the key behavioral nuance (taste_pending) and the backfill path. It doesn't mention default ordering or any other implicit behavior, but given the output schema and annotations, it is sufficiently complete for an agent to call it correctly.

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 67%, so the schema already documents most parameters. The description mentions pagination and filtering generally but does not add details beyond the schema. The taste_pending explanation is repeated from the schema parameter description. Thus the description adds little extra value over 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?

The description clearly states the action (list) and the resource (shot history), and specifies support for pagination and filtering. It is specific enough to distinguish from other list tools, though it doesn't explicitly name any alternative. It doesn't mention sibling differentiators, but the purpose is unambiguous.

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. It doesn't mention any prerequisites or conditions, and it doesn't compare with other listing tools. The description implies it is the listing tool for shots, but it offers no explicit context for selection.

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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