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Mode VC: AI Venture Research Charts & Investor Atlas

Search All Venture & AI Charts

search_charts

Searches across all 38 empirical AI & venture research charts published by Mode VC. Filter by keyword, topic, or date. Returns titles, empirical claims, takeaways, canonical URLs, and markdown endpoints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of charts to return
queryNoSearch term matching title, claim, key takeaway, or keywords (e.g. "pre-seed", "pricing", "claude", "inference", "sdk")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden; it does add real value by enumerating what comes back (titles, empirical claims, takeaways, canonical URLs, markdown endpoints), which is important since there is no output schema. It still omits the safety profile (read-only nature), result ordering, rate limits, and pagination behavior, and it advertises date filtering that the schema does not support.

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?

Two tight sentences, front-loaded with what is searched, then what is returned. Every clause is informational, and the return-field sentence is justified by the absence of an output schema; only minor redundancy with the title keeps it from a 5.

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 two-parameter, no-output-schema search tool this covers purpose, filter dimensions, and return contents, which is most of what an agent needs. The unsupported "date" filter claim and the absence of any pagination or ordering note are the only meaningful gaps.

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 limit and query are fully documented in the schema and the baseline is 3. The description adds little beyond that and actually introduces a mismatch: it promises filtering by "date" when no date parameter exists, which could mislead an agent about what the tool accepts.

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?

States a specific verb ("Searches") plus resource and scope ("all 38 empirical AI & venture research charts published by Mode VC"), which the title reinforces. The verb "searches across all" implicitly contrasts with the get_* siblings that retrieve a single item, but no sibling is named explicitly, so it stops short of full differentiation.

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

Usage Guidelines3/5

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

"Filter by keyword, topic, or date" implies how to narrow results, which is adequate for a search tool. However, it never says when to use this versus get_chart_data or get_venture_chart_of_the_day, and gives no exclusions or preconditions, so usage is only implied.

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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