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tdlm
by tdlm

list_notices

Retrieve alerts and notices for a school by providing its school ID. Get a list of current school announcements and important messages.

Instructions

List alerts and notices for a school.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
school_idYes
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 implies a read-only operation ('List') but does not disclose return format, pagination, filtering, permissions, or potential side effects, leaving significant behavioral ambiguity.

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?

The description is a single, efficient sentence with no wasted words. While it is concise, it might benefit from slightly more context to help prioritize usage, but it remains appropriately sized for a simple list operation.

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 lack of annotations and output schema, the description is under-specified. It does not mention return values, any filtering or pagination behavior, or how it relates to sibling tools like get_feeds. This leaves the agent with insufficient information for reliable invocation and result interpretation.

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 has 0% parameter descriptions, but the phrase 'for a school' clarifies that the required school_id parameter refers to the school whose notices are being listed. This adds meaning beyond the bare schema type, though it does not provide any further detail about constraints or formats.

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 uses a specific verb ('List') and resource ('alerts and notices') with a clear scope ('for a school'), making it easy to understand what the tool does. However, it does not explicitly distinguish itself from sibling tools like get_feeds or list_school_features, so it lacks explicit differentiation.

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 does not mention exclusions, prerequisites, or scenarios where this tool is preferred over sibling list tools, leaving the agent without clear contextual direction.

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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