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delete_learning_sources

Remove learning sources and their summaries from a project to manage content and maintain organization.

Instructions

Delete learning sources and their summaries from a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID to delete sources from
source_idsYesArray of source IDs to delete
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action is a deletion, implying it's destructive and irreversible, but doesn't specify permissions required, rate limits, error handling, or what happens to associated data beyond 'summaries'. This leaves significant gaps for a mutation tool.

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, efficient sentence that front-loads the core action and resources. There's no wasted verbiage, repetition, or unnecessary details, making it highly concise and well-structured for quick understanding.

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 the tool is a destructive mutation with no annotations and no output schema, the description is incomplete. It lacks crucial details like confirmation prompts, return values (e.g., success/failure indicators), error cases, or dependencies on other tools (e.g., needing source IDs from 'list_learning_sources'). This makes it inadequate for safe and effective use.

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 100%, so the schema already documents both parameters ('project_id' and 'source_ids') adequately. The description adds no additional meaning beyond implying the parameters relate to deletion scope, which aligns with the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

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 ('Delete') and the resources ('learning sources and their summaries'), and specifies the scope ('from a project'). However, it doesn't explicitly differentiate from sibling tools like 'list_learning_sources' or 'add_learning_sources' beyond the verb difference, which is why it's a 4 rather than a 5.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing to list sources first), exclusions (e.g., not for partial deletions), or direct comparisons to siblings like 'process_learning_sources', leaving the agent to infer usage from context alone.

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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