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Glama
NASA ADS MCP Server
by prtc

Create library

create_library

Create a new paper library in your ADS account to organize papers by topic, project, or reading status.

Instructions

Create a new paper library/collection in the user's ADS account. Useful for organizing papers by topic, project, or reading status.

Input Schema

NameRequiredDescriptionDefault
nameYesName for the library (e.g., 'Stellar Populations Review')
publicNoWhether the library should be public (default: false)
descriptionNoDescription of the library

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changedv0.8.0
    • addedInput schema / properties / description / default
      Added value: +""
    • addedInput schema / properties / description / title
      Added value: +"Description"
    • addedInput schema / properties / name / title
      Added value: +"Name"
    • addedInput schema / properties / public / title
      Added value: +"Public"
    • addedInput schema / title
      Added value: +"create_libraryArguments"
  2. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=true, so the mutation and safety profile is covered structurally. The description adds the account-scoping detail but says nothing about duplicate-name handling, library limits, or that the call is non-idempotent (repeating it creates a second library) — a meaningful gap for a create operation.

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?

Two short sentences with the action front-loaded and the organizational rationale second; nothing is redundant. The second sentence is mild filler but does carry usage context, so it earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-parameter create tool with a fully documented schema, the description is adequate but thin. With no output schema present, it should ideally say what the call returns (e.g., a library identifier needed for add_to_library), and it omits any prerequisite or failure behavior.

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 name, public, and description are each documented in the schema, establishing the baseline of 3. The description adds no further meaning about parameter behavior, such as naming constraints or what a public library exposes, so it neither compensates nor detracts.

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 gives a specific verb+resource ('Create a new paper library/collection') and adds the scope 'in the user's ADS account', which is enough to distinguish it from siblings like list_libraries and add_to_library. It stops short of explicitly naming those siblings as alternatives, so it is clear but not maximally differentiated.

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?

'Useful for organizing papers by topic, project, or reading status' implies the when-to-use context but never states exclusions or points to alternatives (e.g., use add_to_library to populate an existing library). The routing signal is only implied, not stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.