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get_research_context

Retrieve research project context including structure, articles, milestones, and methods to support research planning and writing.

Instructions

Retrieve research project context from the PKM.

Gathers information about the research structure, articles, milestones,
and methods to help with research planning and writing.

Args:
    section: What to retrieve -- "overview", "articles", "milestones", "methods".
    max_chars: Maximum characters to return for file-based sections (default 8000).
               Pass 0 for no limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNooverview
max_charsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden. It implies read-only via 'Retrieve' but does not explicitly state it is non-destructive or free of side effects, which is critical for a retrieval tool.

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?

The description is highly concise with a front-loaded purpose and efficient listing of arguments. Every sentence provides necessary information without redundancy.

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?

The description adequately covers parameters. It lacks mention of prerequisites (e.g., an active research project) or error handling, but an output schema exists so return values are not required.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully compensates: it lists valid section values (overview, articles, milestones, methods) and explains max_chars behavior (default 8000, pass 0 for no limit), adding meaning beyond the schema's type and default.

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 tool retrieves research project context and lists components (overview, articles, milestones, methods). However, it does not explicitly differentiate from sibling tools like load_project_context or get_context, which may have overlapping functionality.

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 explicit guidance on when to use this tool versus alternatives. The phrase 'to help with research planning and writing' is vague and does not provide conditions for use or exclusion.

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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