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Search Items

search_items
Read-onlyIdempotent

Search the USGS ScienceBase catalog (sciencebase.gov) — the U.S. Geological Survey's scientific data catalog of datasets, publications, and projects, with summaries, categories, dates, and direct download links. Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results, default 10, max 25.
queryYesFree-text search, e.g. "streamflow", "earthquake hazard", "Landsat vegetation".
categoryNoOptional. Narrow to a single catalog category: "Data", "Publication", "Project", or "Collection".

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds 'Keyless' (no authentication required) and details about the catalog contents, which provides some extra context beyond annotations but does not deeply describe behavior like rate limits or return structure.

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 sentence that begins with the action verb 'Search' and the target resource, followed by essential details. It is concise, front-loaded, and contains no redundant or irrelevant information.

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 search tool with 3 well-documented parameters and comprehensive annotations, the description provides adequate context: the domain (USGS ScienceBase), contents, and a key usage note (Keyless). While return format is not described (no output schema), the tool’s simplicity makes this acceptable.

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%, with each parameter clearly defined (query as free-text, limit with defaults, category options). The description does not add new information about parameters beyond what the schema provides, so it meets the baseline for high coverage.

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 specifies that the tool searches the USGS ScienceBase catalog, listing the types of scientific data included (datasets, publications, projects) and key features (summaries, categories, dates, download links). It uniquely identifies the resource and differentiates from sibling tools that search other domains or provide different functionality.

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?

The description implies usage for searching USGS data and notes no API key is needed, but lacks explicit guidance on when to use this tool versus alternatives like deep_research or search_within. There are no exclusion criteria or recommended 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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have distinctly described purposes, but there is some overlap among query tools like ask_pipeworx, ask_pipeworx_grounded, deep_research, and validate_claim, which could cause confusion for an agent.

Naming Consistency3/5

Tool names are consistently snake_case but vary in pattern: some are verb_noun (ask_pipeworx, compare_entities), while others are noun_noun (entity_profile, polymarket_arbitrage) or longer phrases (scan_competitor_ai_presence), making the naming system inconsistent.

Tool Count2/5

With 33 tools, the server feels over-scoped. Many tools are niche (e.g., polymarket-specific ones) and the high number exceeds the typical range for a focused server, leading to potential overwhelm.

Completeness3/5

The server covers a broad range of query and monitoring tasks for its domains, but lacks write operations (except memory tools). There are notable gaps like no tool for creating or editing ScienceBase items, which seems incomplete given the server's name.