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bendichter

dandi-query-server

by bendichter

search_datasets

Search DANDI Archive datasets by name, description, species, anatomy, or experimental approach, with pagination controls.

Instructions

Search DANDI datasets using basic filters

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoSearch in dataset names
limitNoMaximum number of results (default: 20, max: 100)
offsetNoNumber of results to skip for pagination
anatomyNoFilter by anatomical region (e.g., ['hippocampus', 'cortex'])
speciesNoFilter by species (e.g., ['Mus musculus', 'Rattus norvegicus'])
approachNoFilter by experimental approach (e.g., ['electrophysiology'])
descriptionNoSearch in dataset descriptions
measurement_techniqueNoFilter by measurement technique (e.g., ['extracellular electrophysiology'])
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It only states 'Search' but does not confirm read-only nature, discuss pagination beyond the schema, or mention authentication or rate limits. The behavioral disclosure is insufficient.

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, front-loaded sentence with no wasted words. It is appropriately sized but could be expanded slightly to add value without harming conciseness.

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 8 parameters and no output schema or annotations, the description lacks critical context such as what the tool returns, how filters combine, and where to find valid filter values. The sibling get_filter_options suggests a need for more integration guidance.

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 baseline is 3. The description adds only the generic phrase 'basic filters', which does not enhance understanding beyond the schema's parameter descriptions.

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 verb 'search' and the resource 'DANDI datasets', indicating a search operation. However, it does not differentiate from the sibling tool search_assets, which may also search datasets or related content.

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 implies basic filtering but provides no explicit guidance on when to use this tool versus alternatives like get_filter_options or execute_sql. No exclusion criteria or context for decision-making is given.

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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