Skip to main content
Glama

Mode VC: AI Venture Research Charts & Investor Atlas

Mode VC Chart of the Day Research

get_venture_chart_of_the_day

Returns the latest daily AI adoption, developer trends, model benchmark movements, and pricing deflation charts from Mode VC's primary research lab.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of recent charts to retrieve

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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 behavioral burden. 'Returns' implies a read operation and 'latest daily' hints at refresh cadence, but there is no disclosure of safety profile, whether results are a fixed curated set or paginated, or how the source lab constrains the data.

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?

A single sentence with no filler, front-loading the verb and the content domains. It is appropriately sized for a simple retrieval tool.

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

Completeness3/5

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

For a low-complexity, zero-required-param tool with full schema coverage, the description is minimally adequate. However, with no annotations and no output schema, it does not describe the shape of a returned 'chart' or whether results are curated vs. filtered, leaving an agent to guess at the return contract.

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% and the single 'limit' parameter is fully documented in the schema, including default and min/max bounds. The description adds no additional meaning about the parameter, so the baseline 3 applies.

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 ('Returns') and a specific resource (daily AI adoption, developer trends, benchmark, pricing charts) from a named source, so the agent knows exactly what it gets. It does not explicitly distinguish itself from 'Chart of the Day' vs. the sibling get_chart_data or search_charts, so sibling differentiation is left to the name/title.

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?

There is no when-to-use guidance at all — no statement of when to pick this over get_chart_data or search_charts, and no prerequisites. Usage is only implied by the word 'daily'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources