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search_spring_ecosystem

Search across Spring projects, guides, docs, API, and Spring AI by keyword to find relevant documentation and answers.

Instructions

Search across the entire Spring ecosystem including all projects, guides, documentation, and Spring AI

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results per category
queryYesKeywords to search across the entire Spring ecosystem
scopeNoScope of search (use 'ai' for Spring AI specific searches)all

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.4.1
    • addedInput schema / properties / query / maxLength
      Added value: +200
  2. First observedv1.2.8

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden, and it does signal that results span multiple content categories (matching the schema's per-category limit). However, it never states that the operation is read-only, how results are grouped or ordered, or any pagination/limit behavior beyond what the schema already declares.

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?

A single front-loaded sentence with no filler, and the scope of coverage is stated before any detail. The phrasing 'entire Spring ecosystem' followed by 'including all projects, guides...' is slightly redundant, keeping it just short of a 5.

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 read-only search with three well-documented parameters and no output schema, the description is minimally adequate but omits the key decision an agent faces: choosing between this tool and its four search siblings. It also says nothing about result shape or per-category grouping.

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 query, limit, and scope are already fully documented in the schema, establishing the baseline of 3. The description adds only marginal meaning, hinting at the Spring AI category that the 'ai' scope enum already exposes.

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?

States a specific verb (Search) and resource (the entire Spring ecosystem), then enumerates the covered content types: projects, guides, documentation, and Spring AI. It implicitly positions itself as the broad umbrella versus the narrower search_spring_docs / search_spring_projects / search_spring_concepts siblings, but never names them, so differentiation still requires inference.

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 phrase 'across the entire Spring ecosystem' implies this is the catch-all search, but there is no explicit when-to-use, when-not-to-use, or named alternative among the four sibling search tools. The only routing hint ('use ai for Spring AI specific searches') lives in the schema, not the description.

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