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cart_remove

Remove scenes from your Bhoonidhi cart by supplying a saved query slug or selecting rows directly from the current cart view. Needs an authenticated session.

Instructions

Remove scenes from the Bhoonidhi cart.

Two ways to address rows: pass slug to index a saved query's scenes, or omit it and let select index the merged cart itself (the same row numbers cart_list shows under the same since/until/last/filter_by window). Needs a login (see auth_status).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lastNo
slugNo
sinceNo
untilNo
selectNo
filter_byNo

Schema Changelog

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

  1. First observedv0.2.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It does disclose the login requirement and the subtle row-indexing semantics for select, which is useful. However, it is silent on whether slug-mode mutates the saved query, whether removal is reversible, and what happens on invalid select/slug input.

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 compact, front-loaded with the core purpose, and then adds the necessary mode/auth context. Every sentence contributes meaningful guidance with no filler.

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

Completeness3/5

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

The description is sufficient for understanding the two addressing modes and the auth dependency. However, with no output schema and no mention of return values, errors, or slug-mode effects on the saved query, an agent may still be uncertain about observable outcomes.

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

Parameters4/5

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 explains the key parameters: slug switches indexing to a saved query's scenes, while select indexes the merged cart when slug is omitted. It also ties since/until/last/filter_by to the cart_list window, though individual formats and allowed values are not specified.

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 first line states a specific action ('Remove scenes') and resource ('Bhoonidhi cart'), so the core purpose is clear. It does not explicitly distinguish itself from sibling remove_query beyond the word 'scenes' versus 'query,' which prevents a perfect 5.

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

Usage Guidelines4/5

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

It gives clear operational guidance for the two addressing modes: pass slug to reference a saved query's scenes, or omit it and use select on the merged cart under the same cart_list window. It also notes the login prerequisite, but does not explicitly state when to prefer remove_query or what preconditions each mode requires.

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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