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brainkb_synthscholar_text

An ingested review's own text: abstract, introduction, synthesis, bias, limitations, conclusions, research_question, search_queries or per_group (the per-group analysis) — or all of them when section is empty.

Input Schema

NameRequiredDescriptionDefault
spaceNo
sectionNo
review_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / space
      Added value: +{
      +  "default": "",
      +  "title": "Space",
      +  "type": "string"
      +}
  2. Added

TDQS

C2.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the default behavior that an empty 'section' returns all sections, which is real behavioral context. But it omits whether this is a pure read, whether the review must already be ingested, auth requirements, or return format.

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 sentence that front-loads the resource and folds the section list and the empty-section default into one clause. It is dense but not padded, though the long inline enumeration slightly hurts scannability.

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 tool with no output schema this is roughly adequate on the content side, but with 0% schema coverage and no annotations the missing descriptions of 'review_id' and 'space' leave the invocation under-specified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It documents the value domain of 'section' well (enum-like list plus the empty=all rule), but 'review_id' and 'space' receive no explanation at all, leaving two of three parameters undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource ('an ingested review's own text') and enumerates the retrievable sections, so an agent can tell it returns section text rather than studies or evidence. However, no explicit verb ('returns/fetches') is given, and it does not distinguish itself from close siblings like synthscholar_records, synthscholar_get_review, or synthscholar_evidence.

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?

There is no when-to-use guidance and no named alternative. The only usage signal is the implicit 'leave section empty to get everything,' which is a behavior, not a routing rule. An agent cannot tell from the description when to prefer this over the other synthscholar read tools.

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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