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archive_list

List archived web fetch and search entries with metadata. Filter by date range to retrieve specific records from the persistent archive.

Instructions

List archived web fetch/search entries with metadata.

Args: date_from: Optional start of date range (YYYY-MM-DD) date_to: Optional end of date range (YYYY-MM-DD, inclusive) max_results: Maximum entries to show (default 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toNo
date_fromNo
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must convey behavioral traits, but it only documents parameters. It does not state whether the operation is read-only, how results are ordered, or any side effects, leaving significant behavioral context unspecified.

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 concise and well-structured: a one-line purpose followed by a clear parameter list. Every sentence earns its place, with no fluff.

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?

For a simple list tool with an output schema, the description covers purpose and parameters adequately. It misses minor behavioral details like result ordering or read-only assurance, but is reasonably complete given the tool's complexity.

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%, but the description fully compensates by explaining the meaning, format (YYYY-MM-DD), inclusivity of date_to, and the default for max_results. This adds substantive value beyond the raw schema.

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?

The description clearly states it lists archived web fetch/search entries with metadata, using a specific verb and resource. This distinguishes it from sibling tools like web_fetch, web_search, archive_read, and rebuild.

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

Usage Guidelines3/5

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

Usage context is implied by the name and purpose (listing archived entries), but there is no explicit when-to-use guidance, exclusions, or references to alternative tools. This leaves the agent to infer appropriate scenarios.

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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