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lzinga

US Government Open Data MCP

by lzinga

scorecard_search

Read-only

Search U.S. colleges by name, state, or type. Compare tuition, admission rate, graduation rate, median earnings, and student debt. Sort results by cost, earnings, or graduation rate.

Instructions

Search U.S. colleges and universities from the College Scorecard. Returns tuition, admission rate, graduation rate, median earnings after graduation, student debt.

Search by name, state, or school type. Sort by cost, earnings, or graduation rate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoSchool name (partial match): 'Harvard', 'community college', 'MIT'
stateNoTwo-letter state code: 'CA', 'NY', 'TX'
ownershipNo1=Public, 2=Private nonprofit, 3=Private for-profit
sortNoSort field: 'latest.cost.tuition.out_of_state:desc', 'latest.earnings.10_yrs_after_entry.median:desc', 'latest.completion.rate_suppressed.overall:desc'
per_pageNoResults per page (default 20, max 100)
Install Server

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true. The description adds return field details beyond annotations, which is useful but not extensive. No contradiction with annotations.

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?

Three concise sentences with no fluff. Front-loaded with purpose, return fields, and filter/sort options.

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?

Given no output schema, the description covers return fields well. Mentions pagination implicitly via sort/cost, but does not explain the ownership enum or per_page parameter. Still fairly complete for a search tool.

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 coverage is 100%, so baseline is 3. Description adds high-level usage context ('Search by name, state, or school type') but does not deepen understanding beyond schema 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?

Description clearly states it searches U.S. colleges and lists return fields. It is specific about capabilities but does not explicitly differentiate from sibling tools like scorecard_compare or scorecard_query.

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?

No guidance on when to use this tool versus alternatives (e.g., scorecard_compare). Does not specify when not to use or provide context for choosing among siblings.

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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