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Agentic RL: Credit Assignment and CLI Agents

Agentic_RL_list_sources

List original papers and retrieval coverage. Discover source-linked comparisons of credit assignment, agent memory, selective observation and terminal benchmarks, with JSON, CSV and BibTeX links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.5/5.0
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. It discloses that the tool lists papers and coverage and that JSON, CSV, and BibTeX links are part of the output, which is useful. However, it does not state whether results are read-only, paginated, ordered, or scoped, though the lack of parameters reduces the risk.

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 sentences and front-loads the core action ('List original papers and retrieval coverage'). The second sentence adds concrete topic scope and output formats without padding or redundant schema repetition.

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?

For a parameterless list tool with no output schema, the description is mostly complete: it states what is listed, the subject areas, and the available link formats. The term 'retrieval coverage' is somewhat ambiguous, but an agent can still invoke the tool correctly without additional context.

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

Parameters4/5

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

The tool has zero parameters and the schema description coverage is 100%, so the baseline is 4. The description does not need to explain parameter meaning, and it appropriately focuses on output and content rather than inputs.

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 names a specific verb and resource ('List original papers and retrieval coverage') and adds topic context ('credit assignment, agent memory, selective observation and terminal benchmarks'). It does not explicitly distinguish itself from siblings like Agentic_RL_search_evidence or Agentic_RL_fetch_evidence, but the listing intent is reasonably clear.

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 guidance is given on when to use this tool versus the sibling search/fetch tools. The description implies a browsing/discovery use case, but it never states exclusions or alternatives, leaving an agent to infer the appropriate selection context.

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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