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search_papers

Search for CodeChef VIT question papers using filters for exam, year, branch, campus, and subject. Get up to 20 matching results.

Instructions

Search for question papers from CodeChef VIT Papers Portal using filters. Caps results at 20.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
examNoThe exam type (e.g. 'CAT-1', 'CAT-2', 'FAT', 'Model CAT-1', 'Model CAT-2', 'Model FAT')
yearNoThe academic year of the question paper (e.g. 2023)
branchNoThe academic branch/stream (e.g. 'CSE', 'ECE')
campusNoThe campus name (e.g. 'Vellore', 'Chennai', 'Andhra Pradesh', 'Bhopal', 'Bangalore', 'Mauritius')
subjectNoThe subject name or course code (e.g. 'BCSE202P', 'Data Structures')
Behavior2/5

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only mentions 'Caps results at 20' but does not explain the return format, how filters combine, or that it is a read-only operation. The single behavioral trait is insufficient.

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 two concise sentences, front-loaded with the main purpose and followed by the result cap. There is no waste, and every word earns its place.

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

Completeness2/5

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

With no output schema and no annotations, the description should explain what the search returns (e.g., list of papers, metadata fields, how to use metadata tool). It fails to provide this, only mentioning a result cap. The tool is under-described for its complexity.

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?

All 5 parameters are fully described in the input schema, so the baseline is 3. The description's phrase 'using filters' adds no new meaning beyond what the schema already provides; it does not compensate with additional semantic detail.

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 searches for question papers from a specific portal using filters. It identifies the verb (search), resource (question papers), and scope (CodeChef VIT Papers Portal), but does not explicitly differentiate from sibling get_paper_metadata beyond the name.

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?

The description gives no guidance on when to use this tool versus the sibling tool or any exclusions. It simply says 'search', leaving the usage context implicit with no alternatives mentioned.

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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