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List new papers

list_papers
Read-onlyIdempotent

Use this when the user asks what is new: the latest papers in a field (mitochondrial dysfunction, immune aging, senolytics), of a study type such as randomised trials, on a body system, or by one author (author takes a name, or an author_id from get_paper), for example to shortlist a lab's journal club. Lists the newest papers AgingResearch.News has read, by the date they were added, with the same filters as search_papers and an optional words filter. For the papers that best answer a question, use search_papers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFull-text filter over title and abstract. Supports "quoted phrases", OR and -exclusions. Results stay in date order; use search_papers for ranked results.
limitNoResults per page, 1 to 25.
sinceNoOnly papers added on or after this UTC date (YYYY-MM-DD; a full ISO timestamp is cut to its date).
untilNoOnly papers added on or before this UTC date (YYYY-MM-DD).
authorNoPapers by an author. A name matches every author who answers to it: the words in any order, with or without accents, an initial standing for any name it begins (`sinclair d`). An `author_id` from a paper's `authors_full` (an OpenAlex author id such as `A5022713595`, or an ORCID iD) matches that one person.
cursorNoOpaque cursor from `pagination.next_cursor` of the previous page. Keep the other parameters the same.
systemNoBody system key (see `systems`). A paper matches when it involves any of them.
age_linkNoHow the work itself connects to aging.
categoryNoCategory slug. A paper matches when its category or its secondary category is listed.
preprintNo`true` for preprints only, `false` for peer-reviewed papers only. Omit for both.
study_typeNoMain source of evidence.
min_relevanceNoHow closely papers must bear on aging, 0 to 3. Leave out for papers about aging; 1 adds adjacent papers; 0 returns every paper read, most of them not about aging.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely useful behavior: results are ordered by date added (not relevance), and the corpus is scoped to what AgingResearch.News has read. It stops short of describing pagination mechanics, though the cursor param schema does.

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?

Dense but front-loaded on the usage trigger, with the search_papers routing placed at the end. It is somewhat long and repeats the filter story across two sentences, but every sentence carries useful routing or scoping information.

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 12-parameter, zero-required list tool with full schema coverage and safety annotations, the description covers trigger, ordering, corpus scope and the sibling alternative. Nothing critical is missing, though it does not summarize the default page size or return shape (no output schema exists).

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 all 12 parameters are already documented in the schema. The description reinforces that filters mirror search_papers and that author resolves names or ids, but adds little beyond what the structured fields already state, so the baseline 3 applies.

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

Purpose5/5

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

States a specific verb (list) and resource (papers), plus the defining scope: the newest papers by the date they were added. It names concrete filters (field, study type, body system, author) and distinguishes itself from search_papers, so an agent can tell the two apart without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Opens with an explicit trigger ('Use this when the user asks what is new') and gives the counter-case ('For the papers that best answer a question, use search_papers'). It also supplies concrete use cases (journal club shortlist) and notes author accepts a name or an author_id from get_paper.

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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